LearnOutLoud.com Audio - Super Data Science: ML & AI Podcast

894: In Case You Missed It in May 2025 (Fri, Jun 06, 2025)
893: How to Jumpstart Your Data Career (by Applying Like a Scientist), with Avery Smith (Tue, Jun 03, 2025)
892: We’re In The AI “Trough of Disillusionment” (and that’s Great!) (Fri, May 30, 2025)
891: Conversational AI is Overhauling Data Analytics, with Martin Brunthaler (Tue, May 27, 2025)
890: The “State of AI” Report 2025 (Fri, May 23, 2025)
889: AI-Powered Virtual Reality: The Future of Education and Entertainment, with Mary Spio (Tue, May 20, 2025)
888: Teams of Agents: The Next Frontier in AI Collaboration, with Mike Pell (Fri, May 16, 2025)
887: Multi-Agent Teams, Quantum Computing and the Future of Work, with Dell’s Global CTO John Roese (Tue, May 13, 2025)
886: In Case You Missed it In April 2025 (Fri, May 09, 2025)
885: Python Polars: The Definitive Guide, with Jeroen Janssens and Thijs Nieuwdorp (Tue, May 06, 2025)
884: Model Context Protocol (MCP) and Why Everyone’s Talking About It (Fri, May 02, 2025)
883: Blackwell GPUs Are Now Available at Your Desk, with Sama Bali and Logan Lawler (Tue, Apr 29, 2025)
882: 40x Hotter Than the Sun: The ASML Machines That Make AI Chips (Fri, Apr 25, 2025)
881: Beyond GPUs: The Power of Custom AI Accelerators, with Emily Webber (Tue, Apr 22, 2025)
880: Manus, DeepSeek and China’s AI Boom (Fri, Apr 18, 2025)
879: Serverless, Parallel, and AI-Assisted: The Future of Data Science is Here, with Zerve’s Dr. Greg Michaelson (Tue, Apr 15, 2025)
878: In Case You Missed It in March 2025 (Fri, Apr 11, 2025)
877: The Neural Processing Units Bringing AI to PCs, with Shirish Gupta (Tue, Apr 08, 2025)
876: Hugging Face’s smolagents: Agentic AI in Python Made Easy (Fri, Apr 04, 2025)
875: How Semiconductors Are Made (And Fuel the AI Boom), with Kai Beckmann (Tue, Apr 01, 2025)
874: How AI is Transforming Baseball (with Lessons For All of Us) (Fri, Mar 28, 2025)
873: Become Your Best Self Through AI Augmentation — feat. Natalie Monbiot (Tue, Mar 25, 2025)
872: Microsoft’s “Majorana 1” Chip Brings Quantum ML Closer (Fri, Mar 21, 2025)
871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake (Tue, Mar 18, 2025)
870: OpenAI’s “Deep Research”: Get Days of Human Work Done in Minutes (Fri, Mar 14, 2025)
869: AI Should Make Humans Wiser (But It Isn’t), with Varun Godbole (Tue, Mar 11, 2025)
868: In Case You Missed It in February 2025 (Fri, Mar 07, 2025)
867: LLMs and Agents Are Overhyped, with Dr. Andriy Burkov (Tue, Mar 04, 2025)
866: Bringing Back Extinct Animals like the Woolly Mammoth and Dodo Bird (Fri, Feb 28, 2025)
865: How to Grow (and Sell) a Data Science Consultancy, with Cal Al-Dhubaib (Tue, Feb 25, 2025)
864: OpenAI’s o3-mini: SOTA reasoning and exponentially cheaper (Fri, Feb 21, 2025)
863: TabPFN: Deep Learning for Tabular Data (That Actually Works!), with Prof. Frank Hutter (Tue, Feb 18, 2025)
862: In Case You Missed It in January 2025 (Fri, Feb 14, 2025)
861: From Pro Athlete to Data Engineer: Colleen Fotsch’s Inspiring Journey (Tue, Feb 11, 2025)
860: DeepSeek R1: SOTA Reasoning at 1% of the Cost (Fri, Feb 07, 2025)
859: BAML: The Programming Language for AI, with Vaibhav Gupta (Tue, Feb 04, 2025)
858: Are You The Account Executive We’re Looking For? (Fri, Jan 31, 2025)
857: How to Ensure AI Agents Are Accurate and Reliable, with Brooke Hopkins (Tue, Jan 28, 2025)
856: The Fastest-Growing Jobs Are AI Jobs (Fri, Jan 24, 2025)
855: Exponential Views on AI and Humanity’s Greatest Challenges, with Azeem Azhar (Tue, Jan 21, 2025)
854: The Six Epochs of Intelligence Evolution (Fri, Jan 17, 2025)
853: Generative AI for Business, with Kirill Eremenko and Hadelin de Ponteves (Tue, Jan 14, 2025)
852: In Case You Missed It in December 2024 (Fri, Jan 10, 2025)
851: Quantum ML: Real-World Applications Today, with Dr. Florian Neukart (Tue, Jan 07, 2025)
850: Continuous Calendar for 2025 (Fri, Jan 03, 2025)
849: 2025 AI and Data Science Predictions, with Sadie St. Lawrence (Tue, Dec 31, 2024)
848: Happy Holidays from the SuperDataScience Podcast (Fri, Dec 27, 2024)
847: AI Engineering 101, with Ed Donner (Tue, Dec 24, 2024)
846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar (Fri, Dec 20, 2024)
845: Tech is Our New Religion And It Needs Reformation, with Greg Epstein (Tue, Dec 17, 2024)
844: In Case You Missed It in November 2024 (Fri, Dec 13, 2024)
843: Safe, Fast and Efficient AI, with Protopia’s Dr. Eiman Ebrahimi (Tue, Dec 10, 2024)(0 -0000, )
842: Flexible AI Deployments Are Critical, with Chris Bennett and Joseph Balsamo (Fri, Dec 06, 2024)
841: Andrew Ng on AI Vision, Agents and Business Value (Tue, Dec 03, 2024)
840: Delicate Viticultural Robotics (Fri, Nov 29, 2024)
839: Double Your Data Salary in 11 Months, with Jess Ramos (Tue, Nov 26, 2024)
838: Consciousness and Machines, with Jennifer K. Hill (Fri, Nov 22, 2024)
837: Career Success in the AI Era, with Deepali Vyas (Tue, Nov 19, 2024)
836: How to Become Happier, with Dr. Nat Ware (Fri, Nov 15, 2024)
835: AI Systems as Productivity Engines, with You.com’s Bryan McCann (Tue, Nov 12, 2024)
834: In Case You Missed It in October 2024 (Fri, Nov 08, 2024)
833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson (Tue, Nov 05, 2024)
832: The Anthropic CEO’s Techno-Utopia (Fri, Nov 01, 2024)
831: PyTorch Lightning, Lit-Serve and Lightning Studios, with Dr. Luca Antiga (Tue, Oct 29, 2024)
830: The “A.I.” Nobel Prizes (in Physics and Chemistry??) (Fri, Oct 25, 2024)
829: Neuroscience Fueled by ML, with Prof. Bradley Voytek (Tue, Oct 22, 2024)
828: Are “Citizen Data Scientists” A Myth? With Keith McCormick (Fri, Oct 18, 2024)
827: Polars: Past, Present and Future, with Polars Creator Ritchie Vink (Tue, Oct 15, 2024)
826: In Case You Missed It in September 2024 (Fri, Oct 11, 2024)
825: Data Contracts: The Key to Data Quality, with Chad Sanderson (Tue, Oct 08, 2024)
824: Llama 3.2: Open-Source Edge and Multimodal LLMs (Fri, Oct 04, 2024)
823: Virtual Humans and AI Clones, with Natalie Monbiot (Tue, Oct 01, 2024)
822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents (Fri, Sep 27, 2024)
821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman (Tue, Sep 24, 2024)
820: OpenAI's o1 "Strawberry" Models (Fri, Sep 20, 2024)
819: PyTorch: From Zero to Hero, with Luka Anicin (Tue, Sep 17, 2024)
818: In Case You Missed It in August 2024 (Fri, Sep 13, 2024)
817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge (Tue, Sep 10, 2024)
816: Explaining AGI to a 94-Year-Old (Fri, Sep 06, 2024)
815: Polars: Faster DataFrame Ops, with Marco Gorelli (Tue, Sep 03, 2024)
814: Summer Reflections (Fri, Aug 30, 2024)
813: Solving Business Problems Optimally with Data, with Jerry Yurchisin (Tue, Aug 27, 2024)
812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery (Fri, Aug 23, 2024)
811: Scaling Data Science Teams Effectively, with Nick Elprin (Tue, Aug 20, 2024)
810: The Five Levels of Self-Driving Cars (Fri, Aug 16, 2024)
809: Agentic AI, with Shingai Manjengwa (Tue, Aug 13, 2024)
808: In Case You Missed It in July 2024 (Fri, Aug 09, 2024)
807: Superintelligence and the Six Singularities, with Dr. Daniel Hulme (Tue, Aug 06, 2024)
806: Llama 3.1 405B: The First Open-Source Frontier LLM (Fri, Aug 02, 2024)
805: How to Be a Supercommunicator, with Charles Duhigg (Tue, Jul 30, 2024)
804: AI x Solar Power = Abundant Energy (Fri, Jul 26, 2024)
803: How to Thrive in Your (Data Science) Career, with Daliana Liu (Tue, Jul 23, 2024)
802: In Case You Missed It in June 2024 (Fri, Jul 19, 2024)
801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard (Tue, Jul 16, 2024)
800: A Transformative Century of Technological Progress, with Annie P. (Fri, Jul 12, 2024)
799: AGI Could Be Near: Dystopian and Utopian Implications, with Dr. Andrey Kurenkov (Tue, Jul 09, 2024)
798: Claude 3.5 Sonnet: Frontier Capabilities & Slick New "Artifacts" UI (Fri, Jul 05, 2024)
797: Deep Learning Classics and Trends, with Dr. Rosanne Liu (Tue, Jul 02, 2024)
796: Earth's Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher (Fri, Jun 28, 2024)
795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph (Tue, Jun 25, 2024)
794: Exciting (and Frightening!) Trends in Open-Source AI (Fri, Jun 21, 2024)
793: Bayesian Methods and Applications, with Alexandre Andorra (Tue, Jun 18, 2024)
792: In Case You Missed It in May 2024 (Fri, Jun 14, 2024)
791: Reinforcement Learning from Human Feedback (RLHF), with Dr. Nathan Lambert (Tue, Jun 11, 2024)
790: Open-Source Libraries for Data Science at the New York R Conference (Fri, Jun 07, 2024)
789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski (Tue, Jun 04, 2024)
788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks (Fri, May 31, 2024)
787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann (Tue, May 28, 2024)
786: The Six Keys to Data Scientists' Success, with Kirill Eremenko (Fri, May 24, 2024)
785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano (Tue, May 21, 2024)
784: Aligning Large Language Models, with Sinan Ozdemir (Fri, May 17, 2024)
783: Generative A.I. for Solar Power Installation, with Navdeep Martin (Tue, May 14, 2024)
782: In Case You Missed It in April 2024 (Fri, May 10, 2024)
781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi (Tue, May 07, 2024)
780: How to Become a Data Scientist, with Dr. Adam Ross Nelson (Fri, May 03, 2024)
779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham (Tue, Apr 30, 2024)
778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute (Fri, Apr 26, 2024)
777: Generative AI in Practice, with Bernard Marr (Tue, Apr 23, 2024)
776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime (Fri, Apr 19, 2024)
775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić (Tue, Apr 16, 2024)
774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities (Fri, Apr 12, 2024)
773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas (Tue, Apr 09, 2024)
772: In Case You Missed It in March 2024 (Fri, Apr 05, 2024)
771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko (Tue, Apr 02, 2024)
770: The Neuroscientific Guide to Confidence (Fri, Mar 29, 2024)
769: Generative AI for Medicine, with Prof. Zack Lipton (Tue, Mar 26, 2024)
768: Is Claude 3 Better than GPT-4? (Fri, Mar 22, 2024)
767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka (Tue, Mar 19, 2024)
766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution (Fri, Mar 15, 2024)
765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant (Tue, Mar 12, 2024)
764: The Top 10 Episodes of 2023 (Fri, Mar 08, 2024)
763: The Best A.I. Startup Opportunities, with venture capitalist Rudina Seseri (Tue, Mar 05, 2024)(00:00 -0000, )
762: Gemini 1.5 Pro, the Million-Token-Context LLM (Fri, Mar 01, 2024)
761: Gemini Ultra: How to Release an A.I. Product for Billions of Users, with Google's Lisa Cohen (Tue, Feb 27, 2024)
760: Humans Love A.I.-Crafted Beer (Fri, Feb 23, 2024)
759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko (Tue, Feb 20, 2024)
758: The Mamba Architecture: Superior to Transformers in LLMs (Fri, Feb 16, 2024)
757: How to Speak so You Blow Listeners' Minds, with Cole Nussbaumer Knaflic (Tue, Feb 13, 2024)
756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds (Fri, Feb 09, 2024)
755: Brewing Beer with A.I., with Beau Warren (Tue, Feb 06, 2024)
754: A Code-Specialized LLM Will Realize AGI, with Jason Warner (Fri, Feb 02, 2024)
753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson (Tue, Jan 30, 2024)
752: AI is Disadvantaging Job Applicants, But You Can Fight Back (Fri, Jan 26, 2024)
751: How to Found and Fund Your Own A.I. Startup, with Dr. Rasmus Rothe (Tue, Jan 23, 2024)
750: How A.I. is Transforming Science (Fri, Jan 19, 2024)
749: Data Science for Clean Energy, with Emily Pastewka (Tue, Jan 16, 2024)
748: The Five Levels of AGI (Fri, Jan 12, 2024)
747: Technical Intro to Transformers and LLMs, with Kirill Eremenko (Tue, Jan 09, 2024)
746: A Continuous Calendar for 2024 (Fri, Jan 05, 2024)
745: 2024 Data Science Trend Predictions (Tue, Jan 02, 2024)
744: To a Peaceful 2024 (Fri, Dec 29, 2023)
743: How to Integrate Generative A.I. Into Your Business, with Piotr Grudzień (Tue, Dec 26, 2023)
742: Happy Holidays from All of Us (Fri, Dec 22, 2023)
741: How to Visualize Data Effectively, with Prof. Alberto Cairo (Tue, Dec 19, 2023)
740: Q*: OpenAI's Rumored AGI Breakthrough (Fri, Dec 15, 2023)
739: AI is Eating Biology and Chemistry, with Dr. Ingmar Schuster (Tue, Dec 12, 2023)
738: Engineering Biomaterials with Generative AI, with Dr. Pierre Salvy (Fri, Dec 08, 2023)
737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux (Tue, Dec 05, 2023)
736: How to Officially Certify your AI Model, with Jan Zawadzki (Fri, Dec 01, 2023)
735: A.I. Product Management, with Google DeepMind's Head of Product, Mehdi Ghissassi (Tue, Nov 28, 2023)
734: Humanoid Robot Soccer, with the Dutch RoboCup Team (Fri, Nov 24, 2023)
733: OpenAssistant: The Open-Source ChatGPT Alternative, with Dr. Yannic Kilcher (Tue, Nov 21, 2023)
732: Data Science for Astronomy, with Dr. Daniela Huppenkothen (Fri, Nov 17, 2023)
731: A.I. Agents Will Develop Their Own Distinct Culture, with Nell Watson (Tue, Nov 14, 2023)
730: How GitHub Operationalizes AI for Teamwide Collaboration and Productivity (Fri, Nov 10, 2023)
729: Universal Principles of Intelligence (Across Humans and Machines), with Prof. Blake Richards (Tue, Nov 07, 2023)
728: Use Contrastive Search to get Human-Quality LLM Outputs (Fri, Nov 03, 2023)
727: Unmasking A.I. Injustice, with Dr. Joy Buolamwini (Tue, Oct 31, 2023)
726: Seven Factors for Successful Data Leadership (Fri, Oct 27, 2023)
725: Neuroscience + Machine Learning, with Google DeepMind's Dr. Kim Stachenfeld (Tue, Oct 24, 2023)
724: Decoding Speech from Raw Brain Activity, with Dr. David Moses (Fri, Oct 20, 2023)
723: Mathematical Optimization, with Jerry Yurchisin (Tue, Oct 17, 2023)
722: AI Emits Far Less Carbon Than Humans (Doing the Same Task) (Fri, Oct 13, 2023)
721: Quantum Machine Learning, with Dr. Amira Abbas (Tue, Oct 10, 2023)
720: OpenAI’s DALL-E 3, Image Chat and Web Search (Fri, Oct 06, 2023)
719: Computational Mathematics and Fluid Dynamics, with Prof. Margot Gerritsen (Tue, Oct 03, 2023)
718: ChatGPT Custom Instructions: A Major, Easy Hack for Data Scientists (Fri, Sep 29, 2023)
717: Overcoming Adversaries with A.I. for Cybersecurity, with Dr. Dan Shiebler (Tue, Sep 26, 2023)
716: Happiness and Life-Fulfillment Hacks (Fri, Sep 22, 2023)
715: Make Better Decisions with Data, with Dr. Allen Downey (Tue, Sep 19, 2023)
714: Using A.I. to Overcome Blindness and Thrive as a Data Scientist (Fri, Sep 15, 2023)
713: Llama 2, Toolformer and BLOOM: Open-Source LLMs with Meta's Dr. Thomas Scialom (Tue, Sep 12, 2023)
712: Code Llama (Fri, Sep 08, 2023)
711: Image, Video and 3D-Model Generation from Natural Language, with Dr. Ajay Jain (Tue, Sep 05, 2023)
710: LangChain: Create LLM Applications Easily in Python (Fri, Sep 01, 2023)
709: Big A.I. R&D Risks Reap Big Societal Rewards, with Meta's Dr. Laurens van der Maaten (Tue, Aug 29, 2023)
708: ChatGPT Code Interpreter: 5 Hacks for Data Scientists (Fri, Aug 25, 2023)
707: Vicuña, Gorilla, Chatbot Arena and Socially Beneficial LLMs, with Prof. Joey Gonzalez (Tue, Aug 22, 2023)
706: Large Language Model Leaderboards and Benchmarks (Fri, Aug 18, 2023)
705: Feeding the World with ML-Powered Precision Agriculture (Tue, Aug 15, 2023)
704: Jon’s “Generative A.I. with LLMs” Hands-on Training (Fri, Aug 11, 2023)
703: How Data Happened: A History, with Columbia Prof. Chris Wiggins (Tue, Aug 08, 2023)
702: Llama 2 — It's Time to Upgrade your Open-Source LLM (Fri, Aug 04, 2023)
701: Generative A.I. without the Privacy Risks (with Prof. Raluca Ada Popa) (Tue, Aug 01, 2023)
700: "The Dream of Life" by Alan Watts (Fri, Jul 28, 2023)
699: The Modern Data Stack, with Harry Glaser (Tue, Jul 25, 2023)
698: How Firms Can Actually Adopt A.I., with Rehgan Avon (Fri, Jul 21, 2023)
697: The (Short) Path to Artificial General Intelligence, with Dr. Ben Goertzel (Tue, Jul 18, 2023)
696: Brain-Computer Interfaces and Neural Decoding, with Prof. Bob Knight (Fri, Jul 14, 2023)
695: NLP with Transformers, feat. Hugging Face's Lewis Tunstall (Tue, Jul 11, 2023)
694: CatBoost: Powerful, efficient ML for large tabular datasets (Fri, Jul 07, 2023)
693: YOLO-NAS: The State of the Art in Machine Vision, with Harpreet Sahota (Tue, Jul 04, 2023)
692: Lossless LLM Weight Compression: Run Huge Models on a Single GPU (Fri, Jun 30, 2023)
691: A.I. Accelerators: Hardware Specialized for Deep Learning (Tue, Jun 27, 2023)
690: How to Catch and Fix Harmful Generative A.I. Outputs (Fri, Jun 23, 2023)
689: Observing LLMs in Production to Automatically Catch Issues (Tue, Jun 20, 2023)
688: Six Reasons Why Building LLM Products Is Tricky (Fri, Jun 16, 2023)
687: Generative Deep Learning, with David Foster (Tue, Jun 13, 2023)
686: Open-Source "Responsible A.I." Tools, with Ruth Yakubu (Fri, Jun 09, 2023)
685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake (Tue, Jun 06, 2023)
684: Get More Language Context out of your LLM (Fri, Jun 02, 2023)
683: Contextual A.I. for Adapting to Adversaries, with Dr. Matar Haller (Tue, May 30, 2023)
682: Business Intelligence Tools, with Mico Yuk (Fri, May 26, 2023)
681: XGBoost: The Ultimate Classifier, with Matt Harrison (Tue, May 23, 2023)
680: Automating Industrial Machines with Data Science and the Internet of Things (IoT) (Fri, May 19, 2023)
679: The A.I. and Machine Learning Landscape, with investor George Mathew (Tue, May 16, 2023)
678: StableLM: Open-source "ChatGPT"-like LLMs you can fit on one GPU (Fri, May 12, 2023)
677: Digital Analytics with Avinash Kaushik (Tue, May 09, 2023)
676: The Chinchilla Scaling Laws (Fri, May 05, 2023)
675: Pandas for Data Analysis and Visualization (Tue, May 02, 2023)
674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation) (Fri, Apr 28, 2023)
673: Taipy, the open-source Python application builder (Tue, Apr 25, 2023)
672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0 (Fri, Apr 21, 2023)
671: Cloud Machine Learning (Tue, Apr 18, 2023)
670: LLaMA: GPT-3 performance, 10x smaller (Fri, Apr 14, 2023)
669: Streaming, reactive, real-time machine learning (Tue, Apr 11, 2023)
668: GPT-4: Apocalyptic stepping stone? (Fri, Apr 07, 2023)
667: Harnessing GPT-4 for your Commercial Advantage (Tue, Apr 04, 2023)
666: GPT-4 (Fri, Mar 31, 2023)
665: How to be both socially impactful and financially successful in your data career (Tue, Mar 28, 2023)
664: MIT Study: ChatGPT Dramatically Increases Productivity (Fri, Mar 24, 2023)
663: Astonishing CICERO negotiates and builds trust with humans using natural language (Tue, Mar 21, 2023)
662: The Most Popular SuperDataScience Podcast Episodes of 2022 (Fri, Mar 17, 2023)
661: Designing Machine Learning Systems (Tue, Mar 14, 2023)
660: Five Ways to Use ChatGPT for Data Science (Fri, Mar 10, 2023)
659: Open-Source Tools for Natural Language Processing (Tue, Mar 07, 2023)
658: How to Build Data and ML Products Users Love (Fri, Mar 03, 2023)
657: How to Learn Data Engineering (Tue, Feb 28, 2023)
656: A.I. Talent and the Red-Hot A.I. Skills (Fri, Feb 24, 2023)
655: AI ROI: How to get a profitable return on an AI-project investment (Tue, Feb 21, 2023)
654: Mike Wimmer: The 14-Year-Old A.I. Entrepreneur (Fri, Feb 17, 2023)
653: Efficiently Glean-ing Insights from Vast Data Warehouses (Tue, Feb 14, 2023)
652: A.I. Speech for the Speechless (Fri, Feb 10, 2023)
651: The Intentional Use of Color in Data Communication (Tue, Feb 07, 2023)
650: SparseGPT: Remove 100 Billion Parameters but Retain 100% Accuracy (Fri, Feb 03, 2023)
649: Introduction to Machine Learning (Tue, Jan 31, 2023)
648: VALL-E: Uncannily Realistic Voice Imitation from a 3-Second Clip (Fri, Jan 27, 2023)
647: Is Data Science Still Sexy? (Tue, Jan 24, 2023)
646: ChatGPT: How to Extract Commercial Value Today (Fri, Jan 20, 2023)
645: Machine Learning for Video Games (Tue, Jan 17, 2023)
644: A Framework for Big Life Decisions (Fri, Jan 13, 2023)
643: A.I. for Medicine (Tue, Jan 10, 2023)
642: Continuous Calendar for 2023 (Fri, Jan 06, 2023)
641: Data Science Trends for 2023 (Tue, Jan 03, 2023)
640: What I Learned in 2022 (Fri, Dec 30, 2022)
639: Simplifying Machine Learning (Tue, Dec 27, 2022)
638: ChatGPT Holiday Greeting (Fri, Dec 23, 2022)
637: How to Influence Others with Your Data (Tue, Dec 20, 2022)
636: The Equality Machine (Fri, Dec 16, 2022)
635: The Perils of Manually Labeling Data for Machine Learning Models (Tue, Dec 13, 2022)
634: Model Error Analysis (Fri, Dec 09, 2022)
633: Responsible Decentralized Intelligence (Tue, Dec 06, 2022)
632: Liquid Neural Networks (Fri, Dec 02, 2022)
631: Data Analytics Career Orientation (Tue, Nov 29, 2022)
630: Resilient Machine Learning (Fri, Nov 25, 2022)
629: Software for Efficient Data Science (Tue, Nov 22, 2022)
628: The Critical Human Element of Successful A.I. Deployments (Fri, Nov 18, 2022)
627: AutoML: Automated Machine Learning (Tue, Nov 15, 2022)
626: Subword Tokenization with Byte-Pair Encoding (Fri, Nov 11, 2022)
625: Analyzing Blockchain Data and Cryptocurrencies (Tue, Nov 08, 2022)
624: Imagen Video: Incredible Text-to-Video Generation (Fri, Nov 04, 2022)
623: Data Analyst, Data Scientist, and Data Engineer Career Paths (Tue, Nov 01, 2022)
622: Burnout: Causes and Solutions (Fri, Oct 28, 2022)
621: Blockchains and Cryptocurrencies: Analytics and Data Applications (Tue, Oct 25, 2022)
620: OpenAI Whisper: General-Purpose Speech Recognition (Fri, Oct 21, 2022)
619: Tools for Deploying Data Models into Production (Tue, Oct 18, 2022)
618: The Joy of Atelic Activities (Fri, Oct 14, 2022)
617: Causal Modeling and Sequence Data (Tue, Oct 11, 2022)
616: The Four Requirements for Expertise (beyond the 10,000 Hours) (Fri, Oct 07, 2022)
615: How to Ace Your Data Science Interview (Tue, Oct 04, 2022)
614: Thriving on Information Overload (Fri, Sep 30, 2022)
613: Causal Machine Learning (Tue, Sep 27, 2022)
612: More Guests on Fridays (Fri, Sep 23, 2022)
611: Open-Ended A.I.: Practical Applications for Humans and Machines (Tue, Sep 20, 2022)
610: Who Dares Wins (Fri, Sep 16, 2022)
609: Data Mesh (Tue, Sep 13, 2022)
608: Daily Habit #11: Assigning Deliverables (Fri, Sep 09, 2022)
607: Inferring Causality (Tue, Sep 06, 2022)
606: Four Thousand Weeks (Fri, Sep 02, 2022)
605: Upskilling in Data Science and Machine Learning (Tue, Aug 30, 2022)
604: Ignition: A Landmark Nuclear Fusion Milestone is Achieved (Fri, Aug 26, 2022)
603: Geospatial Data and Unconventional Routes into Data Careers (Tue, Aug 23, 2022)
602: We Are Living in Ancient Times (Fri, Aug 19, 2022)
601: Venture Capital for Data Science (Tue, Aug 16, 2022)
600: Yoga Nidra Practice with Steve Fazzari (Fri, Aug 12, 2022)
599: MLOps: Machine Learning Operations (Tue, Aug 09, 2022)
598: Getting Kids Excited about STEM Subjects (Fri, Aug 05, 2022)
597: A.I. Policy at OpenAI (Tue, Aug 02, 2022)
596: The A.I. Platforms of the Future (Fri, Jul 29, 2022)
595: Data Engineering 101 (Tue, Jul 26, 2022)
594: Why CEOs Care About A.I. More than Other Technologies (Fri, Jul 22, 2022)
593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration (Tue, Jul 19, 2022)
592: How to Sell a Multimillion Dollar A.I. Contract (Fri, Jul 15, 2022)
591: Simulations and Synthetic Data for Machine Learning (Tue, Jul 12, 2022)
590: Artificial General Intelligence is Not Nigh (Part 2 of 2) (Fri, Jul 08, 2022)
589: Narrative A.I. with Hilary Mason (Tue, Jul 05, 2022)
588: Artificial General Intelligence is Not Nigh (Fri, Jul 01, 2022)
587: Data Engineering for Data Scientists (Tue, Jun 28, 2022)
586: Daily Habit #10: Limit Social Media Use (Fri, Jun 24, 2022)
585: PyMC for Bayesian Statistics in Python (Tue, Jun 21, 2022)
584: OpenAI Codex (Fri, Jun 17, 2022)
583: The State of Natural Language Processing (Tue, Jun 14, 2022)
582: Model Speed vs Model Accuracy (Fri, Jun 10, 2022)
581: Bayesian, Frequentist, and Fiducial Statistics in Data Science (Tue, Jun 07, 2022)
580: Collecting Valuable Data (Fri, Jun 03, 2022)
579: Transforming Dentistry with A.I. (Tue, May 31, 2022)
578: Identifying Commercial ML Problems (Fri, May 27, 2022)
577: Scaling A.I. Startups Globally (Tue, May 24, 2022)
576: Tech Startup Dramas (Fri, May 20, 2022)
575: Optimizing Computer Hardware with Deep Learning (Tue, May 17, 2022)
574: Music for Deep Work (Fri, May 13, 2022)
573: Automating ML Model Deployment (Tue, May 10, 2022)
572: Daily Habit #9: Avoiding Messages Until a Set Time Each Day (Fri, May 06, 2022)
571: Collaborative, No-Code Machine Learning (Tue, May 03, 2022)
570: DALL-E 2: Stunning Photorealism from Any Text Prompt (Fri, Apr 29, 2022)
569: A.I. For Crushing Humans at Poker and Board Games (Tue, Apr 26, 2022)
568: PaLM: Google's Breakthrough Natural Language Model (Fri, Apr 22, 2022)
567: Open-Access Publishing (Tue, Apr 19, 2022)
566: The Best Time to Plant a Tree (Fri, Apr 15, 2022)
565: AGI: The Apocalypse Machine (Tue, Apr 12, 2022)
564: Clem Delangue on Hugging Face and Transformers (Fri, Apr 08, 2022)
563: How to Rock at Data Science — with Tina Huang (Tue, Apr 05, 2022)
562: Daily Habit #8: Math or Computer Science Exercise (Fri, Apr 01, 2022)
561: Engineering Data APIs (Tue, Mar 29, 2022)
560: Daily Habit #7: Read Two Pages (Fri, Mar 25, 2022)
559: GPT-3 for Natural Language Processing (Tue, Mar 22, 2022)
558: Jon's Answers to Questions on Machine Learning (Fri, Mar 18, 2022)
557: Effective Pandas (Tue, Mar 15, 2022)
556: Jon's Machine Learning Courses (Fri, Mar 11, 2022)
555: Sports Analytics and 66 Days of Data with Ken Jee (Tue, Mar 08, 2022)
554: Jon's Deep Learning Courses (Fri, Mar 04, 2022)
553: The Statistics and Machine Learning Quests of Dr. Josh Starmer (Tue, Mar 01, 2022)
552: The Most Popular SuperDataScience Episodes of 2021 (Fri, Feb 25, 2022)
551: Deep Reinforcement Learning — with Wah Loon Keng (Tue, Feb 22, 2022)
550: Daily Habit #6: Write Morning Pages (Fri, Feb 18, 2022)
549: Engineering Natural Language Models — with Lauren Zhu (Tue, Feb 15, 2022)
548: Daily Habit #5: Meditate (Fri, Feb 11, 2022)
547: How Genes Influence Behavior — with Prof. Jonathan Flint (Tue, Feb 08, 2022)
546: Daily Habit #4: Alternate-Nostril Breathing (Fri, Feb 04, 2022)
545: Scaling Data-Intensive Real-Time Applications — with Matthew Russell (Tue, Feb 01, 2022)
544: Daily Habit #3: Make Your Bed (Fri, Jan 28, 2022)
543: Sparking A.I. Innovation — with Nicole Büttner (Tue, Jan 25, 2022)
542: Continuous Calendar for 2022 (Fri, Jan 21, 2022)
541: Data Observability — with Dr. Kevin Hu (Tue, Jan 18, 2022)
540: Daily Habit #2: Start the Day with a Glass of Water (Fri, Jan 14, 2022)
539: Interpretable Machine Learning — with Serg Masís (Tue, Jan 11, 2022)
538: Daily Habit #1: Track Your Habits (Fri, Jan 07, 2022)
537: Data Science Trends for 2022 (Tue, Jan 04, 2022)
536: What I Learned in 2021 (Fri, Dec 31, 2021)
535: How to Found, Grow, and Sell a Data Science Start-up (Tue, Dec 28, 2021)
534: A Holiday Greeting (Fri, Dec 24, 2021)
533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully (Tue, Dec 21, 2021)
532: Mutable vs Immutable Conditions (Fri, Dec 17, 2021)
531: Data Science at the Command Line (Tue, Dec 14, 2021)
530: Ten A.I. Thought Leaders to Follow (on Twitter) (Fri, Dec 10, 2021)
529: A.I. Robotics at Home (Tue, Dec 07, 2021)
528: The Normal Anxiety of Content Creation (Fri, Dec 03, 2021)
527: Automating Data Analytics (Tue, Nov 30, 2021)
526: The Highest-Paying Data Frameworks (Fri, Nov 26, 2021)
525: Hurdling Over Data Career Obstacles (Tue, Nov 23, 2021)
524: The Highest-Paying Data Tools (Fri, Nov 19, 2021)
523: Open-Source Analytical Computing (pandas, Apache Arrow) (Tue, Nov 16, 2021)
522: Data Tools vs. Data Platforms (Fri, Nov 12, 2021)
521: Skyrocket Your Career by Sharing Your Writing (Tue, Nov 09, 2021)
520: The Highest-Paying Programming Languages for Data Scientists (Fri, Nov 05, 2021)
519: A.I. for Good (Tue, Nov 02, 2021)
518: Fail More (Fri, Oct 29, 2021)
517: Courses in Data Science and Machine Learning (Tue, Oct 26, 2021)
516: Does Caffeine Hurt Productivity? (Part 3: Scientific Literature) (Fri, Oct 22, 2021)
515: Accelerating Impact through Community — with Chrys Wu (Tue, Oct 19, 2021)
514: Does Caffeine Hurt Productivity? (Part 2: Experimental Results) (Fri, Oct 15, 2021)
513: Transformers for Natural Language Processing (Tue, Oct 12, 2021)
512: Does Caffeine Hurt Productivity? (Part 1) (Fri, Oct 08, 2021)
511: Data Science for Private Investing — LIVE with Drew Conway (Tue, Oct 05, 2021)
510: Deep Reinforcement Learning (Fri, Oct 01, 2021)
509: Accelerating Start-up Growth with A.I. Specialists (Tue, Sep 28, 2021)
508: Building Your Ant Hill (Fri, Sep 24, 2021)
507: Bayesian Statistics (Tue, Sep 21, 2021)
506: Supervised vs Unsupervised Learning (Fri, Sep 17, 2021)
505: From Data Science to Cinema (Tue, Sep 14, 2021)
504: Classification vs Regression (Fri, Sep 10, 2021)
503: Deep Reinforcement Learning for Robotics (Tue, Sep 07, 2021)
502: Managing Imposter Syndrome (Fri, Sep 03, 2021)
501: Statistical Programming with Friends (Tue, A 31, )(ug 11:00:00 2021, -0000)
500: Yoga Nidra with Jes Allen (Fri, Aug 27, 2021)
499: Data Meshes and Data Reliability (Tue, Aug 24, 2021)
498: How Only Beginners Know Everything (Fri, Aug 20, 2021)
497: Maximizing the Global Impact of Your Career (Tue, Aug 17, 2021)
496: 2040: A Brain-Computer Interface Story (Fri, Aug 13, 2021)
495: Successful AI Projects and AI Startups (Wed, Aug 11, 2021)
494: How to Instantly Appreciate Being Alive (Fri, Aug 06, 2021)
493: Bringing Data to the People (Tue, Aug 03, 2021)
492: The World is Awful (and it's Never Been Better) (Fri, Jul 30, 2021)
491: R in Production (Tue, Jul 27, 2021)
490: Say No to Pie Charts (Fri, Jul 23, 2021)
489: Monetizing Machine Learning (Tue, Jul 20, 2021)
488: The Price of Your Attention (Fri, Jul 16, 2021)
487: Fixing Dirty Data (Tue, Jul 13, 2021)
486: The History of Calculus (Fri, Jul 09, 2021)
485: Financial Data Engineering (Tue, Jul 06, 2021)
484: Algorithm Aversion (Fri, Jul 02, 2021)
483: Setting Yourself Apart in Data Science Interviews (Tue, Jun 29, 2021)
482: Continuous Calendars (Fri, Jun 25, 2021)
481: Performance Marketing Analytics (Tue, Jun 22, 2021)
480: Top Five Resume Tips (Fri, Jun 18, 2021)
479: Knowledge Graphs (Tue, Jun 15, 2021)
478: Five Keys to Success (Fri, Jun 11, 2021)
477: How to Thrive as an Early-Career Data Scientist (Tue, Jun 08, 2021)
476: Peer-Driven Learning (Fri, Jun 04, 2021)
475: The 20% of Analytics Driving 80% of ROI (Tue, Jun 01, 2021)
474: The Machine Learning House (Fri, May 28, 2021)
473: Machine Learning at NVIDIA (Tue, May 25, 2021)
472: The Learning Never Stops (so Relax) (Fri, May 21, 2021)
471: 99 Days to Your First Data Science Job (Tue, May 18, 2021)
470: My Favorite Books (Fri, May 14, 2021)
469: Learning Deep Learning Together (Tue, May 11, 2021)
468: The History of Data (Fri, May 07, 2021)
467: High-Impact Data Science Made Easy (Tue, May 04, 2021)
466: Good vs. Great Data Scientists (Fri, Apr 30, 2021)
465: Analytics for Commercial and Personal Success (Tue, Apr 27, 2021)
464: A.I. vs Machine Learning vs Deep Learning (Fri, Apr 23, 2021)
463: Time Series Analysis (Tue, Apr 20, 2021)
462: It Could Be Even Better (Fri, Apr 16, 2021)
461: MLOps for Renewable Energy (Wed, Apr 14, 2021)
460: The History of Algebra (Fri, Apr 09, 2021)
459: Tackling Climate Change with ML (Wed, Apr 07, 2021)
458: Behind the Scenes (Fri, Apr 02, 2021)
457: Landing Your Data Science Dream Job (Thu, Apr 01, 2021)
456: The Pomodoro Technique (Fri, Mar 26, 2021)
455: Legal Tech, Powered by Machine Learning (Wed, Mar 24, 2021)
454: The Staggering Pace of Progress Part 2 (Fri, Mar 19, 2021)(0 , )
453: Big Global Problems Worth Solving with Machine Learning (Wed, Mar 17, 2021)
452: The Staggering Pace of Progress (Fri, Mar 12, 2021)
451: Translating PhD Research into ML Applications (Thu, Mar 11, 2021)
450: Yoga Nidra (Fri, Mar 05, 2021)
449: Fairness in A.I. (Thu, Mar 04, 2021)
448: How to be a Data Science Leader (Fri, Feb 26, 2021)
447: Commercial ML Opportunities Lie Everywhere (Thu, Feb 25, 2021)
446: Getting Started in Machine Learning (Fri, Feb 19, 2021)
445: Conversational A.I. (Thu, Feb 18, 2021)
444: Future-Proofing Your Career (Fri, Feb 12, 2021)
443: The End of Jobs (Thu, Feb 11, 2021)
442: Data Science as an Atomic Habit (Fri, Feb 05, 2021)
441: Communicating Data Effectively (Thu, Feb 04, 2021)
440: MuZero: Learning Without Rules (Fri, Jan 29, 2021)
439: Deep Learning for Machine Vision (Thu, Jan 28, 2021)
438: Artificial General Intelligence (Fri, Jan 22, 2021)
437: Data Science at a World-Leading Hedge Fund (Wed, Jan 20, 2021)
436: Attention Sharpening Tools Part 2 (Fri, Jan 15, 2021)
435: Scaling Up Machine Learning (Thu, Jan 14, 2021)
434: Attention Sharpening Tools Part 1 (Fri, Jan 08, 2021)
433: Data Science Trends for 2021 (Thu, Jan 07, 2021)
432: Hello from Jon and Welcome to 2021 (Fri, Jan 01, 2021)
431: One-on-one with Kirill: What I learned in 2020 (Thu, Dec 31, 2020)
430: Intellect and Intelligence (Fri, Dec 25, 2020)
429: 2020's Biggest Data Science Breakthroughs (Thu, Dec 24, 2020)
428: The Internal Conflict Model (Fri, Dec 18, 2020)
427: Impacting Through Technology (Thu, Dec 17, 2020)
426: The Shift: From Ambition to Meaning (Fri, Dec 11, 2020)
425: The Past, Present, and Future of AI Services (Thu, Dec 10, 2020)(00 , )
424: A Symbiotic Relationship With AI (Fri, Dec 04, 2020)
423: The Growth and Future of STEM in Africa (Thu, Dec 03, 2020)
422: Pain Vs. Suffering (Fri, Nov 27, 2020)
421: Real-World Applications of Digital Twins (Thu, Nov 26, 2020)
420: Wheel of Life (Fri, Nov 20, 2020)
419: Unlocking the Architecture of Innovation (Thu, Nov 19, 2020)
418: Play With Feeling (Fri, Nov 13, 2020)
417: Data Engineering and Product Development (Thu, Nov 12, 2020)
416: My Advice for Career Success (Fri, Nov 06, 2020)
415: Developing and Maintaining Your Technical and Soft Skills (Thu, Nov 05, 2020)
414: Needs vs. Wants (Fri, Oct 30, 2020)
413: Changing The World With Data (Wed, Oct 28, 2020)
412: Stand More - Sit Less (Fri, Oct 23, 2020)
411: Succeeding in Analytics by Thinking Outside the Data (Wed, Oct 21, 2020)
410: Communicate Your Needs (Fri, Oct 16, 2020)
409: Succeeding & Networking In The Virtual Space (Wed, Oct 14, 2020)
408: Meaning is Everything (Fri, Oct 09, 2020)
407: How to Encourage Diversity in Data Science (Wed, Oct 07, 2020)
406: Abandon Hope (Fri, Oct 02, 2020)
405: The Work of Quants and Data Scientists in the Financial Space (Wed, Sep 30, 2020)
404: The Narrative Arc in Storytelling (Fri, Sep 25, 2020)
403: Gamifying Your Data Science Work and Education (Wed, Sep 23, 2020)
402: Face Your Demons (Fri, Sep 18, 2020)
401: From Data Science Student to Professional (Wed, Sep 16, 2020)
400: Think Bigger (Fri, Sep 11, 2020)
399: Contributing to the Community of Data Scientists (Wed, Sep 09, 2020)
398: Emotional Burnout (Fri, Sep 04, 2020)
397: The Importance of Data Science Literacy (Wed, Sep 02, 2020)
396: Five Job Hunting Tips (Fri, Aug 28, 2020)
395: How to Tell Stories with Data (Wed, Aug 26, 2020)
394: Teach It (Fri, Aug 21, 2020)
393: The Importance of Keeping Science in Data Science (Wed, Aug 19, 2020)
392: Start Your Own Morning Ritual (Fri, Aug 14, 2020)
391: Data Science Campfire Tales with John Elder (Wed, Aug 12, 2020)( -0000 23:00:00, )
390: Perception vs. Emotion (Fri, Aug 07, 2020)
389: Becoming Good Enough: Jumpstarting Your Data Science Career (Wed, Aug 05, 2020)
388: Get a Headhunter (Fri, Jul 31, 2020)
387: Becoming a Data Science Leader (Wed, Jul 29, 2020)
386: Cohort Analysis (Fri, Jul 24, 2020)
385: Advanced Data Topics and People-Centered Data Science (Wed, Jul 22, 2020)
384: 10 Tips to Become a Master Presenter (Fri, Jul 17, 2020)
383: You're Not an Imposter, You're Learning: Data Science Journeys (Wed, Jul 15, 2020)
382: Manage Cognitive Load in Data Science (Fri, Jul 10, 2020)
381: How to Avoid Failing at Digital Transformation (Wed, Jul 08, 2020)
380: Data Analyst vs. Data Scientist (Fri, Jul 03, 2020)
379: Maelstrom, Chaos, and Mayhem: Guiding Your Data Science Career Path (Wed, Jul 01, 2020)
378: Use Your Unconscious Mind (Fri, Jun 26, 2020)
377: The Power of Women in STEM (Wed, Jun 24, 2020)
376: Expose Yourself to New Ideas Regularly (Fri, Jun 19, 2020)
375: Utilizing Oracle Cloud as an Enterprise, Small Business, or Developer (Wed, Jun 17, 2020)
374: Remember to Wind Down (Fri, Jun 12, 2020)
373: TensorFlow and AI Learnings for Developers (Wed, Jun 10, 2020)
372: Understanding the P-Value (Fri, Jun 05, 2020)
371: The Power of Memory For Productivity (Wed, Jun 03, 2020)
370: What is Support Vector Regression (SVR)? (Fri, May 29, 2020)
369: Real Data Analytics for Economics, HR, and COVID-19 (Wed, May 27, 2020)
368: Future-Proof Your Career (Fri, May 22, 2020)
367: Building Data Pipelines for COVID-19 Modeling (Wed, May 20, 2020)
366: Define Your Own Success (Fri, May 15, 2020)
365: Deep Learning Models For Recruitment (Wed, May 13, 2020)
364: Depression and Suicidal Thoughts (Fri, May 08, 2020)
363: Intuition, Frameworks, and Unlocking the Power of Data (Wed, May 06, 2020)
362: Hybrid AI (Fri, May 01, 2020)
361: How To Succeed As An Analytics Consultant (Wed, Apr 29, 2020)
360: Importance of Sleep (Fri, Apr 24, 2020)
359: Tackling Data Science Job Hunting, Interviews & Negotiations (Wed, Apr 22, 2020)
358: Racism and Discrimination (Fri, Apr 17, 2020)
357: Emotions, Relationships, and Being Kind During the Pandemic (Wed, Apr 15, 2020)
356: Working Remotely (Fri, Apr 10, 2020)
355: DJ Patil on Harnessing the Power of Data Science Community (Wed, Apr 08, 2020)
354: Negative Coefficients (Fri, Apr 03, 2020)
353: How to Practice Human-Centric Data Science (Wed, Apr 01, 2020)
352: History of Data Science - Part 5 (Fri, Mar 27, 2020)
351: Self-Starting In Data Science (Wed, Mar 25, 2020)
350: Coronavirus (Fri, Mar 20, 2020)
349: Human-in-the-Loop Algorithms in Retail (Thu, Mar 19, 2020)
348: History of Data Science - Part 4 (Fri, Mar 13, 2020)
347: How To Tell Your Story For Career Success (Thu, Mar 12, 2020)
346: My Top 5 Productivity Hacks (Fri, Mar 06, 2020)
345: Machine Learning At Twitter (Thu, Mar 05, 2020)
344: History of Data Science - Part 3 (Fri, Feb 28, 2020)
343: Career Jumpstarts through Data Science Retreat (Thu, Feb 27, 2020)
342: History of Data Science - Part 2 (Fri, Feb 21, 2020)
341: Talking Robotics with Brandon Rohrer (Thu, Feb 20, 2020)
340: History of Data Science - Part 1 (Fri, Feb 14, 2020)
339: The Power of Coaching (Thu, Feb 13, 2020)
338: Too Many Photos (Fri, Feb 07, 2020)
337: Hadley Wickham Talks Integration and Future of R and Python (Thu, Feb 06, 2020)
336: Better Than Perfect (Fri, Jan 31, 2020)
335: Many Ways to Fail & Five Ways to Succeed in Startups (Thu, Jan 30, 2020)
334: No Coaching (Fri, Jan 24, 2020)
333: BERT and NLP in 2020 and Beyond (Thu, Jan 23, 2020)
332: Go through the Motions (Fri, Jan 17, 2020)
331: Hacking Data Science Interviews for Graduates (Thu, Jan 16, 2020)
330: Good! (Fri, Jan 10, 2020)
329: Telling a Story Right with Data (Thu, Jan 09, 2020)
328: Look for the Horse (Fri, Jan 03, 2020)
327: Data Science Trends for 2020 (Thu, Jan 02, 2020)
326: Who Inspires You? (Fri, Dec 27, 2019)
325: What I Learned in 2019 (Thu, Dec 26, 2019)
324: Proximity is Power #2 (Fri, Dec 20, 2019)
323: Data Science as a Freelance Career (Thu, Dec 19, 2019)
322: Diets (Fri, Dec 13, 2019)
321: The Life of One Advanced Data Scientist (Thu, Dec 12, 2019)
320: Mentorship (Fri, Dec 06, 2019)
319: The Path to Data Visualization (Thu, Dec 05, 2019)
318: Amazing (Fri, Nov 29, 2019)
317: A Deep Dive Into Neural Nets (Thu, Nov 28, 2019)
316: Make It About Yourself (Fri, Nov 22, 2019)
315: Making Data Accessible (Thu, Nov 21, 2019)
314: Meet the Team (Fri, Nov 15, 2019)
313: The Power of Online Data Education (Thu, Nov 14, 2019)
312: Contemplation (Fri, Nov 08, 2019)
311: Using Data Right In Smart Cities (Thu, Nov 07, 2019)
310: Trial by Fire (Fri, Nov 01, 2019)
309: Learning Through Competition (Wed, Oct 30, 2019)
308: Your Tribe (Fri, Oct 25, 2019)
307: Problem Solving Through Better Thinking (Wed, Oct 23, 2019)
306: Pura Vida (Fri, Oct 18, 2019)
305: Using Data Visualization Tools (Wed, Oct 16, 2019)
304: The Law of Attraction (Fri, Oct 11, 2019)
303: Proper Hypothesis Testing For Every Field (Wed, Oct 09, 2019)
302: What is Data Science to you? (Fri, Oct 04, 2019)
301: Finding Your Edge (Wed, Oct 02, 2019)
300: Legacy (Fri, Sep 27, 2019)
299: Becoming Seasoned At Failure (Wed, Sep 25, 2019)
298: The Six Months Rule (Fri, Sep 20, 2019)
297: Fortitude & Passion in the Data Science Journey (Wed, Sep 18, 2019)
296: Who You Become (Fri, Sep 13, 2019)
295: A Deep Conversation About Tech & Life (Wed, Sep 11, 2019)
294: Perception of AI in Big Companies (Fri, Sep 06, 2019)
293: True Personalization Through Reinforcement Learning (Wed, Sep 04, 2019)
292: Introverts and Extroverts (Fri, Aug 30, 2019)
291: Changing the World With Theory & Data (Wed, Aug 28, 2019)
290: The Passion Paradox (Fri, Aug 23, 2019)
289: AI, Deepfakes and Call of Duty (Wed, Aug 21, 2019)
288: Love Yourself (Fri, Aug 16, 2019)
287: How To Be Social About Data Science (Wed, Aug 14, 2019)
286: Solitude Deprivation (Fri, Aug 09, 2019)
285: Bringing Dev & Diverse Communities Into Data Science (Wed, Aug 07, 2019)
284: Proximity is Power (Fri, Aug 02, 2019)
283: Getting The Most Out of Data With Gradient Boosting (Wed, Jul 31, 2019)
282: Learning Something New (Fri, Jul 26, 2019)
281: Futureproofing Your Digital Marketing Tactics (Wed, Jul 24, 2019)
280: Gap Year (Fri, Jul 19, 2019)
279: Embedding Data Science in Business (Wed, Jul 17, 2019)
278: Your Core Strength (Fri, Jul 12, 2019)
277: The New Age of Reason (Wed, Jul 10, 2019)
276: Data Science in Wealth Management (Fri, Jul 05, 2019)
275: Machine Learning Through Reinforcement & Contextual Bandits (Wed, Jul 03, 2019)
274: Ask the Right Question (Fri, Jun 28, 2019)
273: Predict, Prevent, Detect: Cyber Security (Wed, Jun 26, 2019)
272: Data Science in Energy (Fri, Jun 21, 2019)
271: Making the Public Graphically Literate (Wed, Jun 19, 2019)
270: The Cold is My Master (Fri, Jun 14, 2019)
269: Maximizing Advertising Efforts With Data (Wed, Jun 12, 2019)
268: Data Science in Insurance (Fri, Jun 07, 2019)
267: Achieving Data Science Maturity (Wed, Jun 05, 2019)
266: Exploration vs Exploitation (Fri, May 31, 2019)
265: Data Science in the World of Big Data (Wed, May 29, 2019)
264: Data Science in Agriculture (Fri, May 24, 2019)
263: Communicating Data (Wed, May 22, 2019)
262: You Cannot Make Progress Without a Routine (Fri, May 17, 2019)
261: Succeeding in Data Science with the Trichotomy of Control (Wed, May 15, 2019)
260: Data Science in Real Estate (Fri, May 10, 2019)
259: Building Machine Autonomy With Neural Networks (Wed, May 08, 2019)
258: Eating S.L.O.W.L.Y. (Fri, May 03, 2019)
257: AI: How Far We Haven’t Actually Come (Wed, May 01, 2019)
256: Data Science in Transportation (Fri, Apr 26, 2019)
255: Diving Into Computer Vision (Wed, Apr 24, 2019)
254: Two Wolves (Fri, Apr 19, 2019)
253: Solving Problems With Data Science & Uber (Wed, Apr 17, 2019)
252: Data Science In Construction (Fri, Apr 12, 2019)
251: Transforming the Identity Authentication Space (Wed, Apr 10, 2019)
250: Guilt vs Shame (Fri, Apr 05, 2019)
249: Diving Into Data Science Consulting (Wed, Apr 03, 2019)
248: Data Science in Government (Fri, Mar 29, 2019)
247: The Science Fact of Technology, AI, & Social Media (Wed, Mar 27, 2019)
246: Boost Your Self-Confidence (Fri, Mar 22, 2019)
245: Knowing What You Need to Know With Data Science (Wed, Mar 20, 2019)
244: Data Science in Entertainment (Fri, Mar 15, 2019)
243: Geospatial Analytics: Where Data Science & Actuarial Science Meet (Wed, Mar 13, 2019)
242: Meditation (Fri, Mar 08, 2019)
241: Pushing the Boundaries in Mental Healthcare with Data Science (Thu, Mar 07, 2019)
240: State of Artificial Intelligence in Business (Fri, Mar 01, 2019)
239: From Candidate to Career: Pathways for Data Scientists (Thu, Feb 28, 2019)
238: Data Science in Banking (Fri, Feb 22, 2019)
237: Data Privacy, GDPR, and You (Thu, Feb 21, 2019)
236: How to Deal with Negative Emotions (Fri, Feb 15, 2019)
235: Living the Dream With Data Science (Thu, Feb 14, 2019)
234: Data Science in Education (Fri, Feb 08, 2019)
233: High Octane Data Science Leadership at Red Bull (Thu, Feb 07, 2019)
232: Sleep on it (Fri, Feb 01, 2019)
231: Data Visualizers: The Storytellers of Data Science (Thu, Jan 31, 2019)
230: SuperDataScience 2.0 (Fri, Jan 25, 2019)
229: Data-Driven Approach of Doing Business (Thu, Jan 24, 2019)
228: Data Science in Mining (Fri, Jan 18, 2019)
227: Enhancing Your Mobile Gaming Experience With Data Science (Thu, Jan 17, 2019)
226: Flat Tyres Happen (Fri, Jan 11, 2019)
225: The Benefit of Having a Diverse Skill Set (Thu, Jan 10, 2019)
224: Hacks For Reading More Books (Fri, Jan 04, 2019)
223: Data Science Trends for 2019 (Thu, Jan 03, 2019)
222: 2018 in Numbers (Fri, Dec 28, 2018)
221: 1-on-1 with Kirill: What I learned in 2018 (Thu, Dec 27, 2018)
220: Data Science in Retail (Fri, Dec 21, 2018)
219: How Kaplan uses Data for Education (Thu, Dec 20, 2018)
218: Start A Great Day (Fri, Dec 14, 2018)
217: Aerospace Engineers and Data Science (Thu, Dec 13, 2018)
216: Data Science In Healthcare (Fri, Dec 07, 2018)
215: Integrating Data Science as a Developer (Thu, Dec 06, 2018)
214: What Is Amazing In Your Life (Fri, Nov 30, 2018)
213: Amazing Tips from Two Legends of Visualization (Thu, Nov 29, 2018)
212: Model Driven Vs Data Driven (Fri, Nov 23, 2018)
211: Working on Apache Spark & R Package Development (Thu, Nov 22, 2018)
210: Compete With Yourself (Fri, Nov 16, 2018)
SDS 209: Full-Time Data Scientist after just 1 year in the field (Thu, Nov 15, 2018)
208: Re-live DSGO2018 (Fri, Nov 09, 2018)
207: The Technical Skills that Actually Add Business Value (Thu, Nov 08, 2018)
206: Machine Learning is All Aroud You (Fri, Nov 02, 2018)
205: Contributing to the community as a Data Science Influencer (Wed, Oct 31, 2018)
204: Set Your Goals Higher (Fri, Oct 26, 2018)
203: Highlights of DSGO 2018 According to an Aspiring Data Scientist (Wed, Oct 24, 2018)
202: Ideas and Execution (Fri, Oct 19, 2018)
201: Emerging Technologies: Challenges and Opportunities in a Revolutionized World (Thu, Oct 18, 2018)
200: What’s the Future of Data Science? Speaker Mashup Edition (Fri, Oct 12, 2018)
199: Data Visualization Insights from NYU (Wed, Oct 10, 2018)
198: Two Millimeter Shifts (Fri, Oct 05, 2018)
197: How to be Happy and Successful (Wed, Oct 03, 2018)
196: Diversity in Data Science (Fri, Sep 28, 2018)
195: Inspiration from the Founder of the R Ladies Organization (Wed, Sep 26, 2018)
194: Why I Became Vegan (Fri, Sep 21, 2018)
193: A serious talk on AI taking over jobs (Wed, Sep 19, 2018)
192: Ace the "Greatest Weakness" Interview Question (Fri, Sep 14, 2018)
191: Helping San Diego Become a Smart City (Wed, Sep 12, 2018)
190: See You in San Diego (Fri, Sep 07, 2018)
189: How I Got 45,000 Linkedin Followers in One Year (Wed, Sep 05, 2018)
188: 6 Ways to Fill the Data Science Gap (Fri, Aug 31, 2018)
187: How Data Science is Becoming a Science (Wed, Aug 29, 2018)
186: Why Execution Trumps Knowledge (Fri, Aug 24, 2018)
185: The Pre-Requisites for Analytics to Happen (Wed, Aug 22, 2018)
184: Why You Need Domain Knowledge in Data Science (Fri, Aug 17, 2018)
183: Everything about Data Analytics & its Future (Wed, Aug 15, 2018)
182: The Importance of the Data Science Community (Fri, Aug 10, 2018)
181: 10 Tips from a Data Science Consultant (Wed, Aug 08, 2018)
180: The Idea Behind Essentialism (Fri, Aug 03, 2018)
179: How a Data Science Recruiter Thinks (Wed, Aug 01, 2018)
178: Visualization in Data Science (Fri, Jul 27, 2018)
177: Building a Career in Data Science (Wed, Jul 25, 2018)
176: The Importance of Storytelling in Data Science (Fri, Jul 20, 2018)
175: Insights from the Founder of KDnuggets (Wed, Jul 18, 2018)
174: A Technology Detox Challenge (Fri, Jul 13, 2018)
173: Understanding Robotics Process Automation (RPA) to Disrupt Your Business (Wed, Jul 11, 2018)
172: Why You Need to Go Beyond the Data (Fri, Jul 06, 2018)
171: Deep dive into R Programming & R Studio (Wed, Jul 04, 2018)
170: Tips for a Bumpy Ride (Fri, Jun 29, 2018)
169: Data Science: Technology and Philanthropy (Wed, Jun 27, 2018)
168: Focus on Your Strengths and Ignore Your Weaknesses (Fri, Jun 22, 2018)
167: Why All Companies Need a Data Science Culture (Wed, Jun 20, 2018)
166: Should You Be Effective or Efficient? (Fri, Jun 15, 2018)
165: Giving Back to the Data Science Community (Wed, Jun 13, 2018)
164: Love Languages and How They Impact Your Life (Fri, Jun 08, 2018)
163: How to Deal with Disruptive Technologies (Thu, Jun 07, 2018)
162: What I Learned from a 10 Day Detox (Fri, Jun 01, 2018)
161: Using AI to Automate Communication (Wed, May 30, 2018)
160: Up Your Presentation Skills with Toastmasters (Fri, May 25, 2018)
159: From Developer to Data Scientist (Wed, May 23, 2018)
158: Maximize Life with the Rapid Planning Method (Fri, May 18, 2018)
157: The Amazing World of a Data Science Meetup (Wed, May 16, 2018)
156: Parkinson's Law to Increase Productivity (Fri, May 11, 2018)
155: How AI and Blockchain Converge (Wed, May 09, 2018)
154: Why Socializing is Crucial (Fri, May 04, 2018)
153: Tips to Improve your Memory (Wed, May 02, 2018)
152: Data Science GO 2018 (Fri, Apr 27, 2018)
151: Women in Data Science & How to Help (Wed, Apr 25, 2018)
150: Have a Mentor (Fri, Apr 20, 2018)
149: Data Science Tips for Startups to Large Companies (Wed, Apr 18, 2018)
148: The Trolley Problem (Fri, Apr 13, 2018)
147: How to Live a More Fulfilling Life - Time & Energy Management (Wed, Apr 11, 2018)
146: Empathy and Compassion (Fri, Apr 06, 2018)
145: How to Use Data Science In Offline Business (Wed, Apr 04, 2018)
144: Two Things to Remember and Two Things to Forget (Fri, Mar 30, 2018)
143: Why Sensors and the Internet of Things are Becoming A Critical Part of Data Science (Wed, Mar 28, 2018)
142: Coworking (Fri, Mar 23, 2018)
141: Supply Chain Analytics, Worldwide Consulting and Learning Data Science In Your Career (Wed, Mar 21, 2018)
140: Upper Limiting (Fri, Mar 16, 2018)
139: The Rise of Blockchain: A Disruptive Super-Technology Much More Than Bitcoin (Wed, Mar 14, 2018)
138: Zone of Genius (Fri, Mar 09, 2018)
137: Cloud Technology: How It’s Changing Data Science, Collaboration and Enterprise (Thu, Mar 08, 2018)
136: Learn Blockchain! (Fri, Mar 02, 2018)
135: How Directors of Data Science Changes the World with Machine Learning and AI (Wed, Feb 28, 2018)
134: How do Lobsters Grow? (Fri, Feb 23, 2018)
133: How a Passion for Tableau Changed a Life (Thu, Feb 22, 2018)
132: The Data-Driven Executive (Fri, Feb 16, 2018)
131: The One Purpose to Data Science and The Truth about Analytics (Thu, Feb 15, 2018)
130: Instant Gratification Monkey (Fri, Feb 09, 2018)
129: Database Challenges for Data Science and How to Deal With Them (Thu, Feb 08, 2018)
128: Confident Data Skills (Fri, Feb 02, 2018)
127: No Compromise: Tableau, Twitter and Fearless Career Shifts (Wed, Jan 31, 2018)
126: Ender's Game (Fri, Jan 26, 2018)
125: A Glimpse into the Virtual Reality World of the Future (Wed, Jan 24, 2018)
124: Reckless Commitment (Fri, Jan 19, 2018)
123: How to be Unstoppable: Data Science, Reckless Commitment & Artificial Intelligence (Wed, Jan 17, 2018)
122: Who Moved My Cheese? (Fri, Jan 12, 2018)
121: Building a Successful Data Science Practice and How to be an Effective Data Scientist (Wed, Jan 10, 2018)
120: Technological Singularity (Fri, Jan 05, 2018)
119: Data Science Trends for 2018 (Wed, Jan 03, 2018)
118: New Year Resolutions (Fri, Dec 29, 2017)
117: 1-on-1 with Kirill: What I learned in 2017 (Thu, Dec 28, 2017)
116: The Power of Gratitude (Fri, Dec 22, 2017)
115: Application of Geospatial Analytics to Business and Real Life (Thu, Dec 21, 2017)
114: Expand Your Comfort Zone (Fri, Dec 15, 2017)
113: How Constant Learning Created a Jet-Set Career (Wed, Dec 13, 2017)
112: How to Win Friends & Influence People (Fri, Dec 08, 2017)
111: The Power of Soft Skills in Data Science (Wed, Dec 06, 2017)
110: AlphaGo Zero (Sat, Dec 02, 2017)
109: Business Consultancy in the Space of Data Science (Wed, Nov 29, 2017)
108: Working Remotely (Fri, Nov 24, 2017)
107: Charting a Career in Energy Analytics (Wed, Nov 22, 2017)
106: Recap of our DataScienceGO 2017 Conference (Fri, Nov 17, 2017)
105: DataScienceGO’s Discussion Panel on Careers (Wed, Nov 15, 2017)
104: Board Games (Fri, Nov 10, 2017)
103: Why this Is the Golden Age of Data Science & How to Get In (Wed, Nov 08, 2017)
102: Intuition vs Mathematics in Data Science (Fri, Nov 03, 2017)
101: What a Data Science Headhunter is Looking For (Wed, Nov 01, 2017)
100: 100 Episodes (Fri, Oct 27, 2017)
099: How a Software Developer Re-Focused his life to Learn Artificial Intelligence (Wed, Oct 25, 2017)
098: Willpower (Fri, Oct 20, 2017)
097: Leveraging Data Science Techniques into E-Commerce & Other Fields (Wed, Oct 18, 2017)
096: Bayes Theorem (Fri, Oct 13, 2017)
095: From Uber to Data Science – A Winner’s Journey (Wed, Oct 11, 2017)
094: The Power of Now (Fri, Oct 06, 2017)
093: Why Evolutionary Programming Machine Learning is Important (Wed, Oct 04, 2017)
092: Exponential Thinking (Fri, Sep 29, 2017)
091: Lessons From a Successful Career in Data Visualization (Wed, Sep 27, 2017)
090: Do What You Want (Fri, Sep 22, 2017)
089: Using Excel in Data Science and Life-Long Learning (Wed, Sep 20, 2017)
088: Fermi Questions (Fri, Sep 15, 2017)
087: Business Intelligence – The Role of Data Visualization (Wed, Sep 13, 2017)
086: Computer Vision (Fri, Sep 08, 2017)
085: The AI Revolution – What the Future Will Look Like (Wed, Sep 06, 2017)
084: Why I Became Vegetarian (Fri, Sep 01, 2017)
083: Leveraging Your Experience into Data Science (Wed, Aug 30, 2017)
082: Data Science Go (Fri, Aug 25, 2017)
081: Data Visualization & How to Freelance Your Passion (Wed, Aug 23, 2017)
080: Your Questions (Sat, Aug 19, 2017)
079: Reinforcement Learning - What You Need to Know (Wed, Aug 16, 2017)
078: Breaking Patterns (Fri, Aug 11, 2017)
077: Finding the Right Data Science Company That Best Fits You (Wed, Aug 09, 2017)
076: Do It For Yourself (Fri, Aug 04, 2017)
075: How to Re-Focus Your Career & Become an Entry Level Data Scientist (Wed, Aug 02, 2017)
074: The Five Balls of Life (Fri, Jul 28, 2017)
073: How to Stand Out to Recruiters in Data Science (Wed, Jul 26, 2017)
072: Connecting the Dots (Fri, Jul 21, 2017)
071: Where the World is Headed to in the Field of Artificial Intelligence (Thu, Jul 20, 2017)
070: The Quant Crunch (Fri, Jul 14, 2017)
069: Steps on How To Become a Thought Leader in the Field of Data Science (Wed, Jul 12, 2017)
068: Stimulate Your Creativity (Fri, Jul 07, 2017)
067: Latest Developments in the Field of AI and How it is Changing the World (Thu, Jul 06, 2017)
066: The Best Ideas (Fri, Jun 30, 2017)
065: How Data Science Brings Value through Consulting Firms (Wed, Jun 28, 2017)
064: My Best Tool (Fri, Jun 23, 2017)
063: How to Keep up with Data Science Trends (Wed, Jun 21, 2017)
062: Dreams vs. Goals (Fri, Jun 16, 2017)
061: Discovering Data Science Workflows and The Importance of Mentorship (Wed, Jun 14, 2017)
060: Maker's Schedule vs. Manager's Schedule (Fri, Jun 09, 2017)
059: Changing Human Behaviour Through a Driving App (Wed, Jun 07, 2017)
058: Conferences (Fri, Jun 02, 2017)
057: Building Image Datasets and Their Importance in Machine Learning (Wed, May 31, 2017)
056: Date With Destiny (Fri, May 26, 2017)
055: Building and Managing a Successful Data Science Team (Wed, May 24, 2017)
054: Selective Ignorance (Fri, May 19, 2017)
053: Career Transitioning to Data Science: Important Lessons from an Aspiring Data Scientist (Wed, May 17, 2017)
052: Getting Things Done (Fri, May 12, 2017)
051: Understanding the Newest Big Data Technology Buzz Terms (Wed, May 10, 2017)
050: Teamwork (Fri, May 05, 2017)
049: Great Tips on Building a Successful Analytics Culture (Wed, May 03, 2017)
048: Push Yourself (Fri, Apr 28, 2017)
047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised (Wed, Apr 26, 2017)
046: What is Reality? (Fri, Apr 21, 2017)
045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok (Wed, Apr 19, 2017)
044: Addicted to Data (Sat, Apr 15, 2017)
043: Solving an Optimization Problem with a Custom Built Algorithm (Wed, Apr 12, 2017)
042: Secret to Success (Fri, Apr 07, 2017)
041: An Inspiring Journey from a Totally Different Background to Data Science (Wed, Apr 05, 2017)
040: Get in Touch (Fri, Mar 31, 2017)
039: Key Data Science and Statistical Skills to Get Hired at VSCO (Wed, Mar 29, 2017)
038: How to Get a Job in Data Science (Fri, Mar 24, 2017)
037: Develop your Dream Data Science Career with Experfy (Wed, Mar 22, 2017)
036: Happiness and Problem Solving (Fri, Mar 17, 2017)
035: Build Your Own Data Science Masters Degree with David Venturi (Wed, Mar 15, 2017)
034: Failure (Thu, Mar 09, 2017)
033: Building a Personal Brand in Data Science with Senior Insights Manager Josh Coulson (Wed, Mar 08, 2017)
032: Get Out There! (Fri, Mar 03, 2017)
031: AB Testing, Kissmetrics and Ways to a Better Lifestyle with David Tanaskovic (Wed, Mar 01, 2017)
030: Compartmentalization (Fri, Feb 24, 2017)
029: Dive Into Deep Learning and Find Out Where Machines Can Outperform Humans With Ben Taylor (Thu, Feb 23, 2017)
028: Pride and Humility (Thu, Feb 16, 2017)
027: Career Choice, Disruptions in Finance and Application Stacks with Aziz Mamatov (Thu, Feb 16, 2017)
026: Sweat Every Day (Thu, Feb 09, 2017)
025: Women in STEM, Bench Science to Data Science and Data and Medical Ethics w/ Kimberly Deas (Wed, Feb 08, 2017)
024: "What are you passionate about?" (Fri, Feb 03, 2017)
023: Data in Marketing, Statistical Significance and Management and Career Advice (Wed, Feb 01, 2017)
022: Seoi Pei - The Skin of Water (Fri, Jan 27, 2017)
021: Applications of Data Science, Democratizing AI and Advice with Sinan Ozdemir (Wed, Jan 25, 2017)
020: Generation Z Insights, Data Privacy and SQL and Database Design with Ilya Eremenko (Thu, Jan 19, 2017)
019: Government Work, Revisiting Left Brain/Right Brain and Artistic Thinking with Ot (Thu, Jan 12, 2017)
018: 20 Years in Data Analytics, Entrepreneurship, and Megatrends in Data with Jen Underwood (Thu, Jan 05, 2017)
017: Partitioning, Roles in Database Infrastructure and SQL Databases with Colin Sloss (Fri, Dec 30, 2016)
016: Data-Driven Operations, Consulting Approaches, and Mentoring with Richard Hopkins (Thu, Dec 22, 2016)
015: Side Income, Stoic Philosophy, and the Importance of QA with Paul Brown (Sat, Dec 17, 2016)
014: Credit Scoring Models, the Law of Large Numbers, and Model Building with Greg Poppe (Mon, Dec 12, 2016)
013: 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle (Thu, Dec 01, 2016)
SDS Special : Giving Up Coffee, IQ vs EQ and Asking the Right Questions with Vitaly Dolgov (Wed, Nov 23, 2016)
012: Online Learning, Tableau Insights and Ad Hoc Analytics with Megan Putney (Tue, Nov 22, 2016)
011: Learning Resources, Thinking Like a Data Scientist and Data Exploration with Garth Zoller (Thu, Nov 17, 2016)
010: Model Validation, Data Exhaust and Organisational Cultural Change with Yaw Tan (Thu, Nov 10, 2016)
009: Neuroscience, Machine Learning and Moore’s Law with Muhsin Karim, Phd (Thu, Nov 03, 2016)
008: Data Science in Computer Games, Learning to Learn and a 40M Euro Case Study with Ulf Morys (Fri, Oct 28, 2016)
007: Advanced Analytics, Dynamic Simulations and Consulting World-wide with Artem Vladimirov (Fri, Oct 21, 2016)
006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu (Sun, Oct 16, 2016)
005: Computer Forensics, Fraud Analytics And Knowing When To Take A Break With Dmitry Korneev (Sun, Oct 09, 2016)
004: Data and Strategy, Three Pillars of Research and Building your Career with Brendan Hogan (Sun, Oct 02, 2016)
003: Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok (Sun, Sep 25, 2016)
002: Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves (Wed, Sep 14, 2016)
001: Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel (Sat, Sep 10, 2016)