All Episodes

982: In Case You Missed It in March 2026

981: How Data Engineers Are “10x’ing” Themselves With Agents, feat. Matt Glickman

980: AI Making Theoretical Physics Breakthroughs

979: Agentic Data Management and the Future of Enterprise AI, with Rohit Choudhary

978: A Post-Transformer Architecture Crushes Sudoku (Transformers Solve ~0%)

977: Attention, World Models and the Future of AI, with Prof. Kyunghyun Cho

976: NVIDIA’s Nemotron 3 Super: The Perfect LLM for Multi-Agent Systems

975: Unmetered Intelligence is Heralding the Next Renaissance, with Zack Kass

974: When Will The AI Bubble Burst? How Bad Will It Be?

973: AI Systems Performance Engineering, with Chris Fregly

972: In Case You Missed It in February 2026

971: 90% of The World’s Data is Private; Lin Qiao’s Fireworks AI is Unlocking It

970: The “100x Engineer”: How to Be One, But Should You?

969: The Laws of Thought: The Math of Minds and Machines, with Prof. Tom Griffiths

968: Is AI Automating Away All Coding Jobs?

967: AI for the Physical World, with Samsara's Praveen Murugesan

966: The Moltbook Phenomenon: OpenClaw Unleashed

965: From PhD Side Project to $500M ARR: Will Falcon’s PyTorch Lightning Story

964: In Case You Missed It in January 2026

963: Reinforcement Learning for Agents, with Amazon AGI Labs’ Antje Barth

962: Wharton Prof Ethan Mollick on Why Your AI Strategy Is Already Obsolete

961: Distributed Artificial Superintelligence, with Dr. Vijoy Pandey

960: In Case You Missed It in December 2025

959: Building Agents 101: Design Patterns, Evals and Optimization (with Sinan Ozdemir)

958: Without Trusted Context, Agents are Stupid (featuring Salesforce’s Rahul Auradkar)

957: How AI Agents Are Automating Enterprise Data Operations, with Ashwin Rajeeva

956: From Agent Demo to Enterprise Product (with Ease!) feat. Salesforce’s Tyler Carlson

955: Nested Learning, Spatial Intelligence and the AI Trends of 2026, with Sadie St. Lawrence

954: Recap of 2025 and Wishing You a Wonderful 2026

953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI, with Dell’s Global CTO John Roese

952: How to Avoid Burnout and Get Promoted, with “The Fit Data Scientist” Penelope Lafeuille

951: Context Engineering, Multiplayer AI and Effective Search, with Dropbox’s Josh Clemm

950: Happy Holidays from All of Us at the SuperDataScience Podcast

949: Why AI Keeps Failing Society, with Stanford professor Alex “Sandy” Pentland

948: In Case You Missed It in November 2025

947: How to Get Hired at Top Firms like Netflix and Spotify, with Jeff Li

946: How Robotaxis Are Transforming Cities

945: AI is a Joke, with Joel Beasley

944: Gemini 3 Pro: Google’s Back on Top

943: Creative Machines: AI in Music and Art, with Prof. Maya Ackerman

942: Odds of AGI by 2040? LEAP Expert Forecasts and Workforce Implications

941: Multi-Agent Human Societies, with Dr. Vijoy Pandey

940: In Case You Missed It in October 2025

939: Mixture-of-Experts and State-Space Models on Edge Devices, with Tyler Cox and Shirish Gupta

938: Frontier AI Agents for Data Science, with Sphinx’s Rohan Kodialam

937: How to Design AI-First Products, with Marc Dupuis

936: LLMs Are Delighted to Help Phishing Scams

935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare

934: Is AI Replacing Junior Workers?

933: Future-Proofing Your Career in the AI Era, feat. Sheamus McGovern

932: Should You Build or Buy Your AI Solution? With Larissa Schneider

931: Boost Your Profits with Mathematical Optimization, feat. Jerry Yurchisin

930: In Case You Missed It in September 2025

929: Dragon Hatchling: The Missing Link Between Transformers and the Brain, with Adrian Kosowski

928: The “Lethal Trifecta”: Can AI Agents Ever Be Safe?

927: Automating Code Review with AI, feat. CodeRabbit’s David Loker

926: AI is Disrupting the Legal Industry: Are Paralegals Doomed?

925: AI, Automation and the Future of Work, with Oxford’s Prof. Carl Benedikt Frey

924: 95% of Enterprise AI Projects Fail (Per MIT Research)

923: Graph Algorithms, GraphRAG and Causal Graphs, with Graph Guru Amy Hodler

922: AI for Manufacturing and Industry, with Hugo Dozois-Caouette

921: NPUs vs GPUs vs CPUs for Local AI Workloads, with Dell’s Ish Shah and Shirish Gupta

920: In Case You Missed It in August 2025

919: Hopes and Fears of AGI, with All-Time Bestselling ML Author Aurélien Géron

918: Multi-Agent Systems with CrewAI

917: 8 Steps to Becoming an AI Engineer, with Kirill Eremenko

916: The 5 Key GPT-5 Takeaways

915: How to Jailbreak LLMs (and How to Prevent It), with Michelle Yi

914: Data Lakes 101 (and Why They’re Key for AI Models), with Oz Katz

913: LLM Pre-Training and Post-Training 101, with Julien Launay

912: In Case You Missed It in July 2025

911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal

910: AI is Disrupting Journalism: The Good, The Bad and The Opportunity

909: Causal AI, with Dr. Robert Usazuwa Ness

908: AI Agents Blackmail Humans 96% of the Time (Agentic Misalignment)

907: Neuroscience, AI and the Limitations of LLMs, with Dr. Zohar Bronfman

906: How Prof. Jason Corso Solved Computer Vision’s Data Problem

905: Why RAG Makes LLMs Less Safe (And How to Fix It), with Bloomberg’s Dr. Sebastian Gehrmann

904: A.I. is Disrupting the Entire Advertising Industry

903: LLM Benchmarks Are Lying to You (And What to Do Instead), with Sinan Ozdemir

902: In Case You Missed It in June 2025

901: Automating Legal Work with Data-Centric ML (feat. Lilith Bat-Leah)

900: 95-Year-Old Annie on How to Stay Healthy and Happy

899: Landing $200k+ AI Roles: Real Cases from the SuperDataScience Community, with Kirill Eremenko

898: My Four-Hour Agentic AI Workshop is Live and 100% Free

897: How to Enable Enterprise AI Transformation, with Strategy Consultant Diane Hare

896: AI (Probably) Isn’t Taking Your Job (At Least Anytime Soon)

895: The Future of Enterprise AI: Investor Shaun Johnson Reveals What Actually Works

894: In Case You Missed It in May 2025

893: How to Jumpstart Your Data Career (by Applying Like a Scientist), with Avery Smith

892: We’re In The AI “Trough of Disillusionment” (and that’s Great!)

891: Conversational AI is Overhauling Data Analytics, with Martin Brunthaler

890: The “State of AI” Report 2025

889: AI-Powered Virtual Reality: The Future of Education and Entertainment, with Mary Spio

888: Teams of Agents: The Next Frontier in AI Collaboration, with Mike Pell

887: Multi-Agent Teams, Quantum Computing and the Future of Work, with Dell’s Global CTO John Roese

886: In Case You Missed it In April 2025

885: Python Polars: The Definitive Guide, with Jeroen Janssens and Thijs Nieuwdorp

884: Model Context Protocol (MCP) and Why Everyone’s Talking About It

883: Blackwell GPUs Are Now Available at Your Desk, with Sama Bali and Logan Lawler

882: 40x Hotter Than the Sun: The ASML Machines That Make AI Chips

881: Beyond GPUs: The Power of Custom AI Accelerators, with Emily Webber

880: Manus, DeepSeek and China’s AI Boom

879: Serverless, Parallel, and AI-Assisted: The Future of Data Science is Here, with Zerve’s Dr. Greg Michaelson

878: In Case You Missed It in March 2025

877: The Neural Processing Units Bringing AI to PCs, with Shirish Gupta

876: Hugging Face’s smolagents: Agentic AI in Python Made Easy

875: How Semiconductors Are Made (And Fuel the AI Boom), with Kai Beckmann

874: How AI is Transforming Baseball (with Lessons For All of Us)

873: Become Your Best Self Through AI Augmentation — feat. Natalie Monbiot

872: Microsoft’s “Majorana 1” Chip Brings Quantum ML Closer

871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake

870: OpenAI’s “Deep Research”: Get Days of Human Work Done in Minutes

869: AI Should Make Humans Wiser (But It Isn’t), with Varun Godbole

868: In Case You Missed It in February 2025

867: LLMs and Agents Are Overhyped, with Dr. Andriy Burkov

866: Bringing Back Extinct Animals like the Woolly Mammoth and Dodo Bird

865: How to Grow (and Sell) a Data Science Consultancy, with Cal Al-Dhubaib

864: OpenAI’s o3-mini: SOTA reasoning and exponentially cheaper

863: TabPFN: Deep Learning for Tabular Data (That Actually Works!), with Prof. Frank Hutter

862: In Case You Missed It in January 2025

861: From Pro Athlete to Data Engineer: Colleen Fotsch’s Inspiring Journey

860: DeepSeek R1: SOTA Reasoning at 1% of the Cost

859: BAML: The Programming Language for AI, with Vaibhav Gupta

858: Are You The Account Executive We’re Looking For?

857: How to Ensure AI Agents Are Accurate and Reliable, with Brooke Hopkins

856: The Fastest-Growing Jobs Are AI Jobs

855: Exponential Views on AI and Humanity’s Greatest Challenges, with Azeem Azhar

854: The Six Epochs of Intelligence Evolution

853: Generative AI for Business, with Kirill Eremenko and Hadelin de Ponteves

852: In Case You Missed It in December 2024

851: Quantum ML: Real-World Applications Today, with Dr. Florian Neukart

850: Continuous Calendar for 2025

849: 2025 AI and Data Science Predictions, with Sadie St. Lawrence

848: Happy Holidays from the SuperDataScience Podcast

847: AI Engineering 101, with Ed Donner

846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar

845: Tech is Our New Religion And It Needs Reformation, with Greg Epstein

844: In Case You Missed It in November 2024

843: Safe, Fast and Efficient AI, with Protopia’s Dr. Eiman Ebrahimi

842: Flexible AI Deployments Are Critical, with Chris Bennett and Joseph Balsamo

841: Andrew Ng on AI Vision, Agents and Business Value

840: Delicate Viticultural Robotics

839: Double Your Data Salary in 11 Months, with Jess Ramos

838: Consciousness and Machines, with Jennifer K. Hill

837: Career Success in the AI Era, with Deepali Vyas

836: How to Become Happier, with Dr. Nat Ware

835: AI Systems as Productivity Engines, with You.com’s Bryan McCann

834: In Case You Missed It in October 2024

833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson

832: The Anthropic CEO’s Techno-Utopia

831: PyTorch Lightning, Lit-Serve and Lightning Studios, with Dr. Luca Antiga

830: The “A.I.” Nobel Prizes (in Physics and Chemistry??)

829: Neuroscience Fueled by ML, with Prof. Bradley Voytek

828: Are “Citizen Data Scientists” A Myth? With Keith McCormick

827: Polars: Past, Present and Future, with Polars Creator Ritchie Vink

826: In Case You Missed It in September 2024

825: Data Contracts: The Key to Data Quality, with Chad Sanderson

824: Llama 3.2: Open-Source Edge and Multimodal LLMs

823: Virtual Humans and AI Clones, with Natalie Monbiot

822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents

821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman

820: OpenAI's o1 "Strawberry" Models

819: PyTorch: From Zero to Hero, with Luka Anicin

818: In Case You Missed It in August 2024

817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge

816: Explaining AGI to a 94-Year-Old

815: Polars: Faster DataFrame Ops, with Marco Gorelli

814: Summer Reflections

813: Solving Business Problems Optimally with Data, with Jerry Yurchisin

812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery

811: Scaling Data Science Teams Effectively, with Nick Elprin

810: The Five Levels of Self-Driving Cars

809: Agentic AI, with Shingai Manjengwa

808: In Case You Missed It in July 2024

807: Superintelligence and the Six Singularities, with Dr. Daniel Hulme

806: Llama 3.1 405B: The First Open-Source Frontier LLM

805: How to Be a Supercommunicator, with Charles Duhigg

804: AI x Solar Power = Abundant Energy

803: How to Thrive in Your (Data Science) Career, with Daliana Liu

802: In Case You Missed It in June 2024

801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard

800: A Transformative Century of Technological Progress, with Annie P.

799: AGI Could Be Near: Dystopian and Utopian Implications, with Dr. Andrey Kurenkov

798: Claude 3.5 Sonnet: Frontier Capabilities & Slick New "Artifacts" UI

797: Deep Learning Classics and Trends, with Dr. Rosanne Liu

796: Earth's Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher

795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph

794: Exciting (and Frightening!) Trends in Open-Source AI

793: Bayesian Methods and Applications, with Alexandre Andorra

792: In Case You Missed It in May 2024

791: Reinforcement Learning from Human Feedback (RLHF), with Dr. Nathan Lambert

790: Open-Source Libraries for Data Science at the New York R Conference

789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski

788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks

787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann

786: The Six Keys to Data Scientists' Success, with Kirill Eremenko

785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano

784: Aligning Large Language Models, with Sinan Ozdemir

783: Generative A.I. for Solar Power Installation, with Navdeep Martin

782: In Case You Missed It in April 2024

781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi

780: How to Become a Data Scientist, with Dr. Adam Ross Nelson

779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham

778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute

777: Generative AI in Practice, with Bernard Marr

776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime

775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić

774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities

773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas

772: In Case You Missed It in March 2024

771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko

770: The Neuroscientific Guide to Confidence

769: Generative AI for Medicine, with Prof. Zack Lipton

768: Is Claude 3 Better than GPT-4?

767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka

766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution

765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant

764: The Top 10 Episodes of 2023

763: The Best A.I. Startup Opportunities, with venture capitalist Rudina Seseri

762: Gemini 1.5 Pro, the Million-Token-Context LLM

761: Gemini Ultra: How to Release an A.I. Product for Billions of Users, with Google's Lisa Cohen

760: Humans Love A.I.-Crafted Beer

759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko

758: The Mamba Architecture: Superior to Transformers in LLMs

757: How to Speak so You Blow Listeners' Minds, with Cole Nussbaumer Knaflic

756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds

755: Brewing Beer with A.I., with Beau Warren

754: A Code-Specialized LLM Will Realize AGI, with Jason Warner

753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson

752: AI is Disadvantaging Job Applicants, But You Can Fight Back

751: How to Found and Fund Your Own A.I. Startup, with Dr. Rasmus Rothe

750: How A.I. is Transforming Science

749: Data Science for Clean Energy, with Emily Pastewka

748: The Five Levels of AGI

747: Technical Intro to Transformers and LLMs, with Kirill Eremenko

746: A Continuous Calendar for 2024

745: 2024 Data Science Trend Predictions

744: To a Peaceful 2024

743: How to Integrate Generative A.I. Into Your Business, with Piotr Grudzień

742: Happy Holidays from All of Us

741: How to Visualize Data Effectively, with Prof. Alberto Cairo

740: Q*: OpenAI's Rumored AGI Breakthrough

739: AI is Eating Biology and Chemistry, with Dr. Ingmar Schuster

738: Engineering Biomaterials with Generative AI, with Dr. Pierre Salvy

737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux

736: How to Officially Certify your AI Model, with Jan Zawadzki

735: A.I. Product Management, with Google DeepMind's Head of Product, Mehdi Ghissassi

734: Humanoid Robot Soccer, with the Dutch RoboCup Team

733: OpenAssistant: The Open-Source ChatGPT Alternative, with Dr. Yannic Kilcher

732: Data Science for Astronomy, with Dr. Daniela Huppenkothen

731: A.I. Agents Will Develop Their Own Distinct Culture, with Nell Watson

730: How GitHub Operationalizes AI for Teamwide Collaboration and Productivity

729: Universal Principles of Intelligence (Across Humans and Machines), with Prof. Blake Richards

728: Use Contrastive Search to get Human-Quality LLM Outputs

727: Unmasking A.I. Injustice, with Dr. Joy Buolamwini

726: Seven Factors for Successful Data Leadership

725: Neuroscience + Machine Learning, with Google DeepMind's Dr. Kim Stachenfeld

724: Decoding Speech from Raw Brain Activity, with Dr. David Moses

723: Mathematical Optimization, with Jerry Yurchisin

722: AI Emits Far Less Carbon Than Humans (Doing the Same Task)

721: Quantum Machine Learning, with Dr. Amira Abbas

720: OpenAI’s DALL-E 3, Image Chat and Web Search

719: Computational Mathematics and Fluid Dynamics, with Prof. Margot Gerritsen

718: ChatGPT Custom Instructions: A Major, Easy Hack for Data Scientists

717: Overcoming Adversaries with A.I. for Cybersecurity, with Dr. Dan Shiebler

716: Happiness and Life-Fulfillment Hacks

715: Make Better Decisions with Data, with Dr. Allen Downey

714: Using A.I. to Overcome Blindness and Thrive as a Data Scientist

713: Llama 2, Toolformer and BLOOM: Open-Source LLMs with Meta's Dr. Thomas Scialom

712: Code Llama

711: Image, Video and 3D-Model Generation from Natural Language, with Dr. Ajay Jain

710: LangChain: Create LLM Applications Easily in Python

709: Big A.I. R&D Risks Reap Big Societal Rewards, with Meta's Dr. Laurens van der Maaten

708: ChatGPT Code Interpreter: 5 Hacks for Data Scientists

707: Vicuña, Gorilla, Chatbot Arena and Socially Beneficial LLMs, with Prof. Joey Gonzalez

706: Large Language Model Leaderboards and Benchmarks

705: Feeding the World with ML-Powered Precision Agriculture

704: Jon’s “Generative A.I. with LLMs” Hands-on Training

703: How Data Happened: A History, with Columbia Prof. Chris Wiggins

702: Llama 2 — It's Time to Upgrade your Open-Source LLM

701: Generative A.I. without the Privacy Risks (with Prof. Raluca Ada Popa)

700: "The Dream of Life" by Alan Watts

699: The Modern Data Stack, with Harry Glaser

698: How Firms Can Actually Adopt A.I., with Rehgan Avon

697: The (Short) Path to Artificial General Intelligence, with Dr. Ben Goertzel

696: Brain-Computer Interfaces and Neural Decoding, with Prof. Bob Knight

695: NLP with Transformers, feat. Hugging Face's Lewis Tunstall

694: CatBoost: Powerful, efficient ML for large tabular datasets

693: YOLO-NAS: The State of the Art in Machine Vision, with Harpreet Sahota

692: Lossless LLM Weight Compression: Run Huge Models on a Single GPU

691: A.I. Accelerators: Hardware Specialized for Deep Learning

690: How to Catch and Fix Harmful Generative A.I. Outputs

689: Observing LLMs in Production to Automatically Catch Issues

688: Six Reasons Why Building LLM Products Is Tricky

687: Generative Deep Learning, with David Foster

686: Open-Source "Responsible A.I." Tools, with Ruth Yakubu

685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake

684: Get More Language Context out of your LLM

683: Contextual A.I. for Adapting to Adversaries, with Dr. Matar Haller

682: Business Intelligence Tools, with Mico Yuk

681: XGBoost: The Ultimate Classifier, with Matt Harrison

680: Automating Industrial Machines with Data Science and the Internet of Things (IoT)

679: The A.I. and Machine Learning Landscape, with investor George Mathew

678: StableLM: Open-source "ChatGPT"-like LLMs you can fit on one GPU

677: Digital Analytics with Avinash Kaushik

676: The Chinchilla Scaling Laws

675: Pandas for Data Analysis and Visualization

674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation)

673: Taipy, the open-source Python application builder

672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0

671: Cloud Machine Learning

670: LLaMA: GPT-3 performance, 10x smaller

669: Streaming, reactive, real-time machine learning

668: GPT-4: Apocalyptic stepping stone?

667: Harnessing GPT-4 for your Commercial Advantage

666: GPT-4

665: How to be both socially impactful and financially successful in your data career

664: MIT Study: ChatGPT Dramatically Increases Productivity

663: Astonishing CICERO negotiates and builds trust with humans using natural language

662: The Most Popular SuperDataScience Podcast Episodes of 2022

661: Designing Machine Learning Systems

660: Five Ways to Use ChatGPT for Data Science

659: Open-Source Tools for Natural Language Processing

658: How to Build Data and ML Products Users Love

657: How to Learn Data Engineering

656: A.I. Talent and the Red-Hot A.I. Skills

655: AI ROI: How to get a profitable return on an AI-project investment

654: Mike Wimmer: The 14-Year-Old A.I. Entrepreneur

653: Efficiently Glean-ing Insights from Vast Data Warehouses

652: A.I. Speech for the Speechless

651: The Intentional Use of Color in Data Communication

650: SparseGPT: Remove 100 Billion Parameters but Retain 100% Accuracy

649: Introduction to Machine Learning

648: VALL-E: Uncannily Realistic Voice Imitation from a 3-Second Clip

647: Is Data Science Still Sexy?

646: ChatGPT: How to Extract Commercial Value Today

645: Machine Learning for Video Games

644: A Framework for Big Life Decisions

643: A.I. for Medicine

642: Continuous Calendar for 2023

641: Data Science Trends for 2023

640: What I Learned in 2022

639: Simplifying Machine Learning

638: ChatGPT Holiday Greeting

637: How to Influence Others with Your Data

636: The Equality Machine

635: The Perils of Manually Labeling Data for Machine Learning Models

634: Model Error Analysis

633: Responsible Decentralized Intelligence

632: Liquid Neural Networks

631: Data Analytics Career Orientation

630: Resilient Machine Learning

629: Software for Efficient Data Science

628: The Critical Human Element of Successful A.I. Deployments

627: AutoML: Automated Machine Learning

626: Subword Tokenization with Byte-Pair Encoding

625: Analyzing Blockchain Data and Cryptocurrencies

624: Imagen Video: Incredible Text-to-Video Generation

623: Data Analyst, Data Scientist, and Data Engineer Career Paths

622: Burnout: Causes and Solutions

621: Blockchains and Cryptocurrencies: Analytics and Data Applications

620: OpenAI Whisper: General-Purpose Speech Recognition

619: Tools for Deploying Data Models into Production

618: The Joy of Atelic Activities

617: Causal Modeling and Sequence Data

616: The Four Requirements for Expertise (beyond the 10,000 Hours)

615: How to Ace Your Data Science Interview

614: Thriving on Information Overload

613: Causal Machine Learning

612: More Guests on Fridays

611: Open-Ended A.I.: Practical Applications for Humans and Machines

610: Who Dares Wins

609: Data Mesh

608: Daily Habit #11: Assigning Deliverables

607: Inferring Causality

606: Four Thousand Weeks

605: Upskilling in Data Science and Machine Learning

604: Ignition: A Landmark Nuclear Fusion Milestone is Achieved

603: Geospatial Data and Unconventional Routes into Data Careers

602: We Are Living in Ancient Times

601: Venture Capital for Data Science

600: Yoga Nidra Practice with Steve Fazzari

599: MLOps: Machine Learning Operations

598: Getting Kids Excited about STEM Subjects

597: A.I. Policy at OpenAI

596: The A.I. Platforms of the Future

595: Data Engineering 101

594: Why CEOs Care About A.I. More than Other Technologies

593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration

592: How to Sell a Multimillion Dollar A.I. Contract

591: Simulations and Synthetic Data for Machine Learning

590: Artificial General Intelligence is Not Nigh (Part 2 of 2)

589: Narrative A.I. with Hilary Mason

588: Artificial General Intelligence is Not Nigh

587: Data Engineering for Data Scientists

586: Daily Habit #10: Limit Social Media Use

585: PyMC for Bayesian Statistics in Python

584: OpenAI Codex

583: The State of Natural Language Processing

582: Model Speed vs Model Accuracy

581: Bayesian, Frequentist, and Fiducial Statistics in Data Science

580: Collecting Valuable Data

579: Transforming Dentistry with A.I.

578: Identifying Commercial ML Problems

577: Scaling A.I. Startups Globally

576: Tech Startup Dramas

575: Optimizing Computer Hardware with Deep Learning

574: Music for Deep Work

573: Automating ML Model Deployment

572: Daily Habit #9: Avoiding Messages Until a Set Time Each Day

571: Collaborative, No-Code Machine Learning

570: DALL-E 2: Stunning Photorealism from Any Text Prompt

569: A.I. For Crushing Humans at Poker and Board Games

568: PaLM: Google's Breakthrough Natural Language Model

567: Open-Access Publishing

566: The Best Time to Plant a Tree

565: AGI: The Apocalypse Machine

564: Clem Delangue on Hugging Face and Transformers

563: How to Rock at Data Science — with Tina Huang

562: Daily Habit #8: Math or Computer Science Exercise

561: Engineering Data APIs

560: Daily Habit #7: Read Two Pages

559: GPT-3 for Natural Language Processing

558: Jon's Answers to Questions on Machine Learning

557: Effective Pandas

556: Jon's Machine Learning Courses

555: Sports Analytics and 66 Days of Data with Ken Jee

554: Jon's Deep Learning Courses

553: The Statistics and Machine Learning Quests of Dr. Josh Starmer

552: The Most Popular SuperDataScience Episodes of 2021

551: Deep Reinforcement Learning — with Wah Loon Keng

550: Daily Habit #6: Write Morning Pages

549: Engineering Natural Language Models — with Lauren Zhu

548: Daily Habit #5: Meditate

547: How Genes Influence Behavior — with Prof. Jonathan Flint

546: Daily Habit #4: Alternate-Nostril Breathing

545: Scaling Data-Intensive Real-Time Applications — with Matthew Russell

544: Daily Habit #3: Make Your Bed

543: Sparking A.I. Innovation — with Nicole Büttner

542: Continuous Calendar for 2022

541: Data Observability — with Dr. Kevin Hu

540: Daily Habit #2: Start the Day with a Glass of Water

539: Interpretable Machine Learning — with Serg Masís

538: Daily Habit #1: Track Your Habits

537: Data Science Trends for 2022

536: What I Learned in 2021

535: How to Found, Grow, and Sell a Data Science Start-up

534: A Holiday Greeting

533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully

532: Mutable vs Immutable Conditions

531: Data Science at the Command Line

530: Ten A.I. Thought Leaders to Follow (on Twitter)

529: A.I. Robotics at Home

528: The Normal Anxiety of Content Creation

527: Automating Data Analytics

526: The Highest-Paying Data Frameworks

525: Hurdling Over Data Career Obstacles

524: The Highest-Paying Data Tools

523: Open-Source Analytical Computing (pandas, Apache Arrow)

522: Data Tools vs. Data Platforms

521: Skyrocket Your Career by Sharing Your Writing

520: The Highest-Paying Programming Languages for Data Scientists

519: A.I. for Good

518: Fail More

517: Courses in Data Science and Machine Learning

516: Does Caffeine Hurt Productivity? (Part 3: Scientific Literature)

515: Accelerating Impact through Community — with Chrys Wu

514: Does Caffeine Hurt Productivity? (Part 2: Experimental Results)

513: Transformers for Natural Language Processing

512: Does Caffeine Hurt Productivity? (Part 1)

511: Data Science for Private Investing — LIVE with Drew Conway

510: Deep Reinforcement Learning

509: Accelerating Start-up Growth with A.I. Specialists

508: Building Your Ant Hill

507: Bayesian Statistics

506: Supervised vs Unsupervised Learning

505: From Data Science to Cinema

504: Classification vs Regression

503: Deep Reinforcement Learning for Robotics

502: Managing Imposter Syndrome

501: Statistical Programming with Friends

500: Yoga Nidra with Jes Allen

499: Data Meshes and Data Reliability

498: How Only Beginners Know Everything

497: Maximizing the Global Impact of Your Career

496: 2040: A Brain-Computer Interface Story

495: Successful AI Projects and AI Startups

494: How to Instantly Appreciate Being Alive

493: Bringing Data to the People

492: The World is Awful (and it's Never Been Better)

491: R in Production

490: Say No to Pie Charts

489: Monetizing Machine Learning

488: The Price of Your Attention

487: Fixing Dirty Data

486: The History of Calculus

485: Financial Data Engineering

484: Algorithm Aversion

483: Setting Yourself Apart in Data Science Interviews

482: Continuous Calendars

481: Performance Marketing Analytics

480: Top Five Resume Tips

479: Knowledge Graphs

478: Five Keys to Success

477: How to Thrive as an Early-Career Data Scientist

476: Peer-Driven Learning

475: The 20% of Analytics Driving 80% of ROI

474: The Machine Learning House

473: Machine Learning at NVIDIA

472: The Learning Never Stops (so Relax)

471: 99 Days to Your First Data Science Job

470: My Favorite Books

469: Learning Deep Learning Together

468: The History of Data

467: High-Impact Data Science Made Easy

466: Good vs. Great Data Scientists

465: Analytics for Commercial and Personal Success

464: A.I. vs Machine Learning vs Deep Learning

463: Time Series Analysis

462: It Could Be Even Better

461: MLOps for Renewable Energy

460: The History of Algebra

459: Tackling Climate Change with ML

458: Behind the Scenes

457: Landing Your Data Science Dream Job

456: The Pomodoro Technique

455: Legal Tech, Powered by Machine Learning

454: The Staggering Pace of Progress Part 2

453: Big Global Problems Worth Solving with Machine Learning

452: The Staggering Pace of Progress

451: Translating PhD Research into ML Applications

450: Yoga Nidra

449: Fairness in A.I.

448: How to be a Data Science Leader

447: Commercial ML Opportunities Lie Everywhere

446: Getting Started in Machine Learning

445: Conversational A.I.

444: Future-Proofing Your Career

443: The End of Jobs

442: Data Science as an Atomic Habit

441: Communicating Data Effectively

440: MuZero: Learning Without Rules

439: Deep Learning for Machine Vision

438: Artificial General Intelligence

437: Data Science at a World-Leading Hedge Fund

436: Attention Sharpening Tools Part 2

435: Scaling Up Machine Learning

434: Attention Sharpening Tools Part 1

433: Data Science Trends for 2021

432: Hello from Jon and Welcome to 2021

431: One-on-one with Kirill: What I learned in 2020

430: Intellect and Intelligence

429: 2020's Biggest Data Science Breakthroughs

428: The Internal Conflict Model

427: Impacting Through Technology

426: The Shift: From Ambition to Meaning

425: The Past, Present, and Future of AI Services

424: A Symbiotic Relationship With AI

423: The Growth and Future of STEM in Africa

422: Pain Vs. Suffering

421: Real-World Applications of Digital Twins

420: Wheel of Life

419: Unlocking the Architecture of Innovation

418: Play With Feeling

417: Data Engineering and Product Development

416: My Advice for Career Success

415: Developing and Maintaining Your Technical and Soft Skills

414: Needs vs. Wants

413: Changing The World With Data

412: Stand More - Sit Less

411: Succeeding in Analytics by Thinking Outside the Data

410: Communicate Your Needs

409: Succeeding & Networking In The Virtual Space

408: Meaning is Everything

407: How to Encourage Diversity in Data Science

406: Abandon Hope

405: The Work of Quants and Data Scientists in the Financial Space

404: The Narrative Arc in Storytelling

403: Gamifying Your Data Science Work and Education

402: Face Your Demons

401: From Data Science Student to Professional

400: Think Bigger

399: Contributing to the Community of Data Scientists

398: Emotional Burnout

397: The Importance of Data Science Literacy

396: Five Job Hunting Tips

395: How to Tell Stories with Data

394: Teach It

393: The Importance of Keeping Science in Data Science

392: Start Your Own Morning Ritual

391: Data Science Campfire Tales with John Elder

390: Perception vs. Emotion

389: Becoming Good Enough: Jumpstarting Your Data Science Career

388: Get a Headhunter

387: Becoming a Data Science Leader

386: Cohort Analysis

385: Advanced Data Topics and People-Centered Data Science

384: 10 Tips to Become a Master Presenter

383: You're Not an Imposter, You're Learning: Data Science Journeys

382: Manage Cognitive Load in Data Science

381: How to Avoid Failing at Digital Transformation

380: Data Analyst vs. Data Scientist

379: Maelstrom, Chaos, and Mayhem: Guiding Your Data Science Career Path

378: Use Your Unconscious Mind

377: The Power of Women in STEM

376: Expose Yourself to New Ideas Regularly

375: Utilizing Oracle Cloud as an Enterprise, Small Business, or Developer

374: Remember to Wind Down

373: TensorFlow and AI Learnings for Developers

372: Understanding the P-Value

371: The Power of Memory For Productivity

370: What is Support Vector Regression (SVR)?

369: Real Data Analytics for Economics, HR, and COVID-19

368: Future-Proof Your Career

367: Building Data Pipelines for COVID-19 Modeling

366: Define Your Own Success

365: Deep Learning Models For Recruitment

364: Depression and Suicidal Thoughts

363: Intuition, Frameworks, and Unlocking the Power of Data

362: Hybrid AI

361: How To Succeed As An Analytics Consultant

360: Importance of Sleep

359: Tackling Data Science Job Hunting, Interviews & Negotiations

358: Racism and Discrimination

357: Emotions, Relationships, and Being Kind During the Pandemic

356: Working Remotely

355: DJ Patil on Harnessing the Power of Data Science Community

354: Negative Coefficients

353: How to Practice Human-Centric Data Science

352: History of Data Science - Part 5

351: Self-Starting In Data Science

350: Coronavirus

349: Human-in-the-Loop Algorithms in Retail

348: History of Data Science - Part 4

347: How To Tell Your Story For Career Success

346: My Top 5 Productivity Hacks

345: Machine Learning At Twitter

344: History of Data Science - Part 3

343: Career Jumpstarts through Data Science Retreat

342: History of Data Science - Part 2

341: Talking Robotics with Brandon Rohrer

340: History of Data Science - Part 1

339: The Power of Coaching

338: Too Many Photos

337: Hadley Wickham Talks Integration and Future of R and Python

336: Better Than Perfect

335: Many Ways to Fail & Five Ways to Succeed in Startups

334: No Coaching

333: BERT and NLP in 2020 and Beyond

332: Go through the Motions

331: Hacking Data Science Interviews for Graduates

330: Good!

329: Telling a Story Right with Data

328: Look for the Horse

327: Data Science Trends for 2020

326: Who Inspires You?

325: What I Learned in 2019

324: Proximity is Power #2

323: Data Science as a Freelance Career

322: Diets

321: The Life of One Advanced Data Scientist

320: Mentorship

319: The Path to Data Visualization

318: Amazing

317: A Deep Dive Into Neural Nets

316: Make It About Yourself

315: Making Data Accessible

314: Meet the Team

313: The Power of Online Data Education

312: Contemplation

311: Using Data Right In Smart Cities

310: Trial by Fire

309: Learning Through Competition

308: Your Tribe

307: Problem Solving Through Better Thinking

306: Pura Vida

305: Using Data Visualization Tools

304: The Law of Attraction

303: Proper Hypothesis Testing For Every Field

302: What is Data Science to you?

301: Finding Your Edge

300: Legacy

299: Becoming Seasoned At Failure

298: The Six Months Rule

297: Fortitude & Passion in the Data Science Journey

296: Who You Become

295: A Deep Conversation About Tech & Life

294: Perception of AI in Big Companies

293: True Personalization Through Reinforcement Learning

292: Introverts and Extroverts

291: Changing the World With Theory & Data

290: The Passion Paradox

289: AI, Deepfakes and Call of Duty

288: Love Yourself

287: How To Be Social About Data Science

286: Solitude Deprivation

285: Bringing Dev & Diverse Communities Into Data Science

284: Proximity is Power

283: Getting The Most Out of Data With Gradient Boosting

282: Learning Something New

281: Futureproofing Your Digital Marketing Tactics

280: Gap Year

279: Embedding Data Science in Business

278: Your Core Strength

277: The New Age of Reason

276: Data Science in Wealth Management

275: Machine Learning Through Reinforcement & Contextual Bandits

274: Ask the Right Question

273: Predict, Prevent, Detect: Cyber Security

272: Data Science in Energy

271: Making the Public Graphically Literate

270: The Cold is My Master

269: Maximizing Advertising Efforts With Data

268: Data Science in Insurance

267: Achieving Data Science Maturity

266: Exploration vs Exploitation

265: Data Science in the World of Big Data

264: Data Science in Agriculture

263: Communicating Data

262: You Cannot Make Progress Without a Routine

261: Succeeding in Data Science with the Trichotomy of Control

260: Data Science in Real Estate

259: Building Machine Autonomy With Neural Networks

258: Eating S.L.O.W.L.Y.

257: AI: How Far We Haven’t Actually Come

256: Data Science in Transportation

255: Diving Into Computer Vision

254: Two Wolves

253: Solving Problems With Data Science & Uber

252: Data Science In Construction

251: Transforming the Identity Authentication Space

250: Guilt vs Shame

249: Diving Into Data Science Consulting

248: Data Science in Government

247: The Science Fact of Technology, AI, & Social Media

246: Boost Your Self-Confidence

245: Knowing What You Need to Know With Data Science

244: Data Science in Entertainment

243: Geospatial Analytics: Where Data Science & Actuarial Science Meet

242: Meditation

241: Pushing the Boundaries in Mental Healthcare with Data Science

240: State of Artificial Intelligence in Business

239: From Candidate to Career: Pathways for Data Scientists

238: Data Science in Banking

237: Data Privacy, GDPR, and You

236: How to Deal with Negative Emotions

235: Living the Dream With Data Science

234: Data Science in Education

233: High Octane Data Science Leadership at Red Bull

232: Sleep on it

231: Data Visualizers: The Storytellers of Data Science

230: SuperDataScience 2.0

229: Data-Driven Approach of Doing Business

228: Data Science in Mining

227: Enhancing Your Mobile Gaming Experience With Data Science

226: Flat Tyres Happen

225: The Benefit of Having a Diverse Skill Set

224: Hacks For Reading More Books

223: Data Science Trends for 2019

222: 2018 in Numbers

221: 1-on-1 with Kirill: What I learned in 2018

220: Data Science in Retail

219: How Kaplan uses Data for Education

218: Start A Great Day

217: Aerospace Engineers and Data Science

216: Data Science In Healthcare

215: Integrating Data Science as a Developer

214: What Is Amazing In Your Life

213: Amazing Tips from Two Legends of Visualization

212: Model Driven Vs Data Driven

211: Working on Apache Spark & R Package Development

210: Compete With Yourself

SDS 209: Full-Time Data Scientist after just 1 year in the field

208: Re-live DSGO2018

207: The Technical Skills that Actually Add Business Value

206: Machine Learning is All Aroud You

205: Contributing to the community as a Data Science Influencer

204: Set Your Goals Higher

203: Highlights of DSGO 2018 According to an Aspiring Data Scientist

202: Ideas and Execution

201: Emerging Technologies: Challenges and Opportunities in a Revolutionized World

200: What’s the Future of Data Science? Speaker Mashup Edition

199: Data Visualization Insights from NYU

198: Two Millimeter Shifts

197: How to be Happy and Successful

196: Diversity in Data Science

195: Inspiration from the Founder of the R Ladies Organization

194: Why I Became Vegan

193: A serious talk on AI taking over jobs

192: Ace the "Greatest Weakness" Interview Question

191: Helping San Diego Become a Smart City

190: See You in San Diego

189: How I Got 45,000 Linkedin Followers in One Year

188: 6 Ways to Fill the Data Science Gap

187: How Data Science is Becoming a Science

186: Why Execution Trumps Knowledge

185: The Pre-Requisites for Analytics to Happen

184: Why You Need Domain Knowledge in Data Science

183: Everything about Data Analytics & its Future

182: The Importance of the Data Science Community

181: 10 Tips from a Data Science Consultant

180: The Idea Behind Essentialism

179: How a Data Science Recruiter Thinks

178: Visualization in Data Science

177: Building a Career in Data Science

176: The Importance of Storytelling in Data Science

175: Insights from the Founder of KDnuggets

174: A Technology Detox Challenge

173: Understanding Robotics Process Automation (RPA) to Disrupt Your Business

172: Why You Need to Go Beyond the Data

171: Deep dive into R Programming & R Studio

170: Tips for a Bumpy Ride

169: Data Science: Technology and Philanthropy

168: Focus on Your Strengths and Ignore Your Weaknesses

167: Why All Companies Need a Data Science Culture

166: Should You Be Effective or Efficient?

165: Giving Back to the Data Science Community

164: Love Languages and How They Impact Your Life

163: How to Deal with Disruptive Technologies

162: What I Learned from a 10 Day Detox

161: Using AI to Automate Communication

160: Up Your Presentation Skills with Toastmasters

159: From Developer to Data Scientist

158: Maximize Life with the Rapid Planning Method

157: The Amazing World of a Data Science Meetup

156: Parkinson's Law to Increase Productivity

155: How AI and Blockchain Converge

154: Why Socializing is Crucial

153: Tips to Improve your Memory

152: Data Science GO 2018

151: Women in Data Science & How to Help

150: Have a Mentor

149: Data Science Tips for Startups to Large Companies

148: The Trolley Problem

147: How to Live a More Fulfilling Life - Time & Energy Management

146: Empathy and Compassion

145: How to Use Data Science In Offline Business

144: Two Things to Remember and Two Things to Forget

143: Why Sensors and the Internet of Things are Becoming A Critical Part of Data Science

142: Coworking

141: Supply Chain Analytics, Worldwide Consulting and Learning Data Science In Your Career

140: Upper Limiting

139: The Rise of Blockchain: A Disruptive Super-Technology Much More Than Bitcoin

138: Zone of Genius

137: Cloud Technology: How It’s Changing Data Science, Collaboration and Enterprise

136: Learn Blockchain!

135: How Directors of Data Science Changes the World with Machine Learning and AI

134: How do Lobsters Grow?

133: How a Passion for Tableau Changed a Life

132: The Data-Driven Executive

131: The One Purpose to Data Science and The Truth about Analytics

130: Instant Gratification Monkey

129: Database Challenges for Data Science and How to Deal With Them

128: Confident Data Skills

127: No Compromise: Tableau, Twitter and Fearless Career Shifts

126: Ender's Game

125: A Glimpse into the Virtual Reality World of the Future

124: Reckless Commitment

123: How to be Unstoppable: Data Science, Reckless Commitment & Artificial Intelligence

122: Who Moved My Cheese?

121: Building a Successful Data Science Practice and How to be an Effective Data Scientist

120: Technological Singularity

119: Data Science Trends for 2018

118: New Year Resolutions

117: 1-on-1 with Kirill: What I learned in 2017

116: The Power of Gratitude

115: Application of Geospatial Analytics to Business and Real Life

114: Expand Your Comfort Zone

113: How Constant Learning Created a Jet-Set Career

112: How to Win Friends & Influence People

111: The Power of Soft Skills in Data Science

110: AlphaGo Zero

109: Business Consultancy in the Space of Data Science

108: Working Remotely

107: Charting a Career in Energy Analytics

106: Recap of our DataScienceGO 2017 Conference

105: DataScienceGO’s Discussion Panel on Careers

104: Board Games

103: Why this Is the Golden Age of Data Science & How to Get In

102: Intuition vs Mathematics in Data Science

101: What a Data Science Headhunter is Looking For

100: 100 Episodes

099: How a Software Developer Re-Focused his life to Learn Artificial Intelligence

098: Willpower

097: Leveraging Data Science Techniques into E-Commerce & Other Fields

096: Bayes Theorem

095: From Uber to Data Science – A Winner’s Journey

094: The Power of Now

093: Why Evolutionary Programming Machine Learning is Important

092: Exponential Thinking

091: Lessons From a Successful Career in Data Visualization

090: Do What You Want

089: Using Excel in Data Science and Life-Long Learning

088: Fermi Questions

087: Business Intelligence – The Role of Data Visualization

086: Computer Vision

085: The AI Revolution – What the Future Will Look Like

084: Why I Became Vegetarian

083: Leveraging Your Experience into Data Science

082: Data Science Go

081: Data Visualization & How to Freelance Your Passion

080: Your Questions

079: Reinforcement Learning - What You Need to Know

078: Breaking Patterns

077: Finding the Right Data Science Company That Best Fits You

076: Do It For Yourself

075: How to Re-Focus Your Career & Become an Entry Level Data Scientist

074: The Five Balls of Life

073: How to Stand Out to Recruiters in Data Science

072: Connecting the Dots

071: Where the World is Headed to in the Field of Artificial Intelligence

070: The Quant Crunch

069: Steps on How To Become a Thought Leader in the Field of Data Science

068: Stimulate Your Creativity

067: Latest Developments in the Field of AI and How it is Changing the World

066: The Best Ideas

065: How Data Science Brings Value through Consulting Firms

064: My Best Tool

063: How to Keep up with Data Science Trends

062: Dreams vs. Goals

061: Discovering Data Science Workflows and The Importance of Mentorship

060: Maker's Schedule vs. Manager's Schedule

059: Changing Human Behaviour Through a Driving App

058: Conferences

057: Building Image Datasets and Their Importance in Machine Learning

056: Date With Destiny

055: Building and Managing a Successful Data Science Team

054: Selective Ignorance

053: Career Transitioning to Data Science: Important Lessons from an Aspiring Data Scientist

052: Getting Things Done

051: Understanding the Newest Big Data Technology Buzz Terms

050: Teamwork

049: Great Tips on Building a Successful Analytics Culture

048: Push Yourself

047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised

046: What is Reality?

045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok

044: Addicted to Data

043: Solving an Optimization Problem with a Custom Built Algorithm

042: Secret to Success

041: An Inspiring Journey from a Totally Different Background to Data Science

040: Get in Touch

039: Key Data Science and Statistical Skills to Get Hired at VSCO

038: How to Get a Job in Data Science

037: Develop your Dream Data Science Career with Experfy

036: Happiness and Problem Solving

035: Build Your Own Data Science Masters Degree with David Venturi

034: Failure

033: Building a Personal Brand in Data Science with Senior Insights Manager Josh Coulson

032: Get Out There!

031: AB Testing, Kissmetrics and Ways to a Better Lifestyle with David Tanaskovic

030: Compartmentalization

029: Dive Into Deep Learning and Find Out Where Machines Can Outperform Humans With Ben Taylor

028: Pride and Humility

027: Career Choice, Disruptions in Finance and Application Stacks with Aziz Mamatov

026: Sweat Every Day

025: Women in STEM, Bench Science to Data Science and Data and Medical Ethics w/ Kimberly Deas

024: "What are you passionate about?"

023: Data in Marketing, Statistical Significance and Management and Career Advice

022: Seoi Pei - The Skin of Water

021: Applications of Data Science, Democratizing AI and Advice with Sinan Ozdemir

020: Generation Z Insights, Data Privacy and SQL and Database Design with Ilya Eremenko

019: Government Work, Revisiting Left Brain/Right Brain and Artistic Thinking with Ot

018: 20 Years in Data Analytics, Entrepreneurship, and Megatrends in Data with Jen Underwood

017: Partitioning, Roles in Database Infrastructure and SQL Databases with Colin Sloss

016: Data-Driven Operations, Consulting Approaches, and Mentoring with Richard Hopkins

015: Side Income, Stoic Philosophy, and the Importance of QA with Paul Brown

014: Credit Scoring Models, the Law of Large Numbers, and Model Building with Greg Poppe

013: 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle

SDS Special : Giving Up Coffee, IQ vs EQ and Asking the Right Questions with Vitaly Dolgov

012: Online Learning, Tableau Insights and Ad Hoc Analytics with Megan Putney

011: Learning Resources, Thinking Like a Data Scientist and Data Exploration with Garth Zoller

010: Model Validation, Data Exhaust and Organisational Cultural Change with Yaw Tan

009: Neuroscience, Machine Learning and Moore’s Law with Muhsin Karim, Phd

008: Data Science in Computer Games, Learning to Learn and a 40M Euro Case Study with Ulf Morys

007: Advanced Analytics, Dynamic Simulations and Consulting World-wide with Artem Vladimirov

006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu

005: Computer Forensics, Fraud Analytics And Knowing When To Take A Break With Dmitry Korneev

004: Data and Strategy, Three Pillars of Research and Building your Career with Brendan Hogan

003: Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok

002: Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves

001: Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel