Super Data Science: ML & AI Podcast with Jon Krohn

By Jon Krohn

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Subscribers: 608
Reviews: 1
Episodes: 500

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 Dec 22, 2023
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Description

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Episode Date
800: A Transformative Century of Technological Progress, with Annie P.
Jul 12, 2024
799: AGI Could Be Near: Dystopian and Utopian Implications, with Dr. Andrey Kurenkov
Jul 09, 2024
798: Claude 3.5 Sonnet: Frontier Capabilities & Slick New "Artifacts" UI
Jul 05, 2024
797: Deep Learning Classics and Trends, with Dr. Rosanne Liu
Jul 02, 2024
796: Earth's Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher
Jun 28, 2024
795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph
Jun 25, 2024
794: Exciting (and Frightening!) Trends in Open-Source AI
Jun 21, 2024
793: Bayesian Methods and Applications, with Alexandre Andorra
Jun 18, 2024
792: In Case You Missed It in May 2024
Jun 14, 2024
791: Reinforcement Learning from Human Feedback (RLHF), with Dr. Nathan Lambert
Jun 11, 2024
790: Open-Source Libraries for Data Science at the New York R Conference
Jun 07, 2024
789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski
Jun 04, 2024
788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks
May 31, 2024
787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann
May 28, 2024
786: The Six Keys to Data Scientists' Success, with Kirill Eremenko
May 24, 2024
785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano
May 21, 2024
784: Aligning Large Language Models, with Sinan Ozdemir
May 17, 2024
783: Generative A.I. for Solar Power Installation, with Navdeep Martin
May 14, 2024
782: In Case You Missed It in April 2024
May 10, 2024
781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi
May 07, 2024
780: How to Become a Data Scientist, with Dr. Adam Ross Nelson
May 03, 2024
779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham
Apr 30, 2024
778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute
Apr 26, 2024
777: Generative AI in Practice, with Bernard Marr
Apr 23, 2024
776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime
Apr 19, 2024
775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić
Apr 16, 2024
774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities
Apr 12, 2024
773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas
Apr 09, 2024
772: In Case You Missed It in March 2024
Apr 05, 2024
771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko
Apr 02, 2024
770: The Neuroscientific Guide to Confidence
Mar 29, 2024
769: Generative AI for Medicine, with Prof. Zack Lipton
Mar 26, 2024
768: Is Claude 3 Better than GPT-4?
Mar 22, 2024
767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka
Mar 19, 2024
766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution
Mar 15, 2024
765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant
Mar 12, 2024
764: The Top 10 Episodes of 2023
Mar 08, 2024
763: The Best A.I. Startup Opportunities, with venture capitalist Rudina Seseri
Mar 05, 2024
762: Gemini 1.5 Pro, the Million-Token-Context LLM
Mar 01, 2024
761: Gemini Ultra: How to Release an A.I. Product for Billions of Users, with Google's Lisa Cohen
Feb 27, 2024
760: Humans Love A.I.-Crafted Beer
Feb 23, 2024
759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko
Feb 20, 2024
758: The Mamba Architecture: Superior to Transformers in LLMs
Feb 16, 2024
757: How to Speak so You Blow Listeners' Minds, with Cole Nussbaumer Knaflic
Feb 13, 2024
756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds
Feb 09, 2024
755: Brewing Beer with A.I., with Beau Warren
Feb 06, 2024
754: A Code-Specialized LLM Will Realize AGI, with Jason Warner
Feb 02, 2024
753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson
Jan 30, 2024
752: AI is Disadvantaging Job Applicants, But You Can Fight Back
Jan 26, 2024
751: How to Found and Fund Your Own A.I. Startup, with Dr. Rasmus Rothe
Jan 23, 2024
750: How A.I. is Transforming Science
Jan 19, 2024
749: Data Science for Clean Energy, with Emily Pastewka
Jan 16, 2024
748: The Five Levels of AGI
Jan 12, 2024
747: Technical Intro to Transformers and LLMs, with Kirill Eremenko
Jan 09, 2024
746: A Continuous Calendar for 2024
Jan 05, 2024
745: 2024 Data Science Trend Predictions
Jan 02, 2024
744: To a Peaceful 2024
Dec 29, 2023
743: How to Integrate Generative A.I. Into Your Business, with Piotr Grudzień
Dec 26, 2023
742: Happy Holidays from All of Us
Dec 22, 2023
741: How to Visualize Data Effectively, with Prof. Alberto Cairo
Dec 19, 2023
740: Q*: OpenAI's Rumored AGI Breakthrough
Dec 15, 2023
739: AI is Eating Biology and Chemistry, with Dr. Ingmar Schuster
Dec 12, 2023
738: Engineering Biomaterials with Generative AI, with Dr. Pierre Salvy
Dec 08, 2023
737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux
Dec 05, 2023
736: How to Officially Certify your AI Model, with Jan Zawadzki
Dec 01, 2023
735: A.I. Product Management, with Google DeepMind's Head of Product, Mehdi Ghissassi
Nov 28, 2023
734: Humanoid Robot Soccer, with the Dutch RoboCup Team
Nov 24, 2023
733: OpenAssistant: The Open-Source ChatGPT Alternative, with Dr. Yannic Kilcher
Nov 21, 2023
732: Data Science for Astronomy, with Dr. Daniela Huppenkothen
Nov 17, 2023
731: A.I. Agents Will Develop Their Own Distinct Culture, with Nell Watson
Nov 14, 2023
730: How GitHub Operationalizes AI for Teamwide Collaboration and Productivity
Nov 10, 2023
729: Universal Principles of Intelligence (Across Humans and Machines), with Prof. Blake Richards
Nov 07, 2023
728: Use Contrastive Search to get Human-Quality LLM Outputs
Nov 03, 2023
727: Unmasking A.I. Injustice, with Dr. Joy Buolamwini
Oct 31, 2023
726: Seven Factors for Successful Data Leadership
Oct 27, 2023
725: Neuroscience + Machine Learning, with Google DeepMind's Dr. Kim Stachenfeld
Oct 24, 2023
724: Decoding Speech from Raw Brain Activity, with Dr. David Moses
Oct 20, 2023
723: Mathematical Optimization, with Jerry Yurchisin
Oct 17, 2023
722: AI Emits Far Less Carbon Than Humans (Doing the Same Task)
Oct 13, 2023
721: Quantum Machine Learning, with Dr. Amira Abbas
Oct 10, 2023
720: OpenAI’s DALL-E 3, Image Chat and Web Search
Oct 06, 2023
719: Computational Mathematics and Fluid Dynamics, with Prof. Margot Gerritsen
Oct 03, 2023
718: ChatGPT Custom Instructions: A Major, Easy Hack for Data Scientists
Sep 29, 2023
717: Overcoming Adversaries with A.I. for Cybersecurity, with Dr. Dan Shiebler
Sep 26, 2023
716: Happiness and Life-Fulfillment Hacks
Sep 22, 2023
715: Make Better Decisions with Data, with Dr. Allen Downey
Sep 19, 2023
714: Using A.I. to Overcome Blindness and Thrive as a Data Scientist
Sep 15, 2023
713: Llama 2, Toolformer and BLOOM: Open-Source LLMs with Meta's Dr. Thomas Scialom
Sep 12, 2023
712: Code Llama
Sep 08, 2023
711: Image, Video and 3D-Model Generation from Natural Language, with Dr. Ajay Jain
Sep 05, 2023
710: LangChain: Create LLM Applications Easily in Python
Sep 01, 2023
709: Big A.I. R&D Risks Reap Big Societal Rewards, with Meta's Dr. Laurens van der Maaten
Aug 29, 2023
708: ChatGPT Code Interpreter: 5 Hacks for Data Scientists
Aug 25, 2023
707: Vicuña, Gorilla, Chatbot Arena and Socially Beneficial LLMs, with Prof. Joey Gonzalez
Aug 22, 2023
706: Large Language Model Leaderboards and Benchmarks
Aug 18, 2023
705: Feeding the World with ML-Powered Precision Agriculture
Aug 15, 2023
704: Jon’s “Generative A.I. with LLMs” Hands-on Training
Aug 11, 2023
703: How Data Happened: A History, with Columbia Prof. Chris Wiggins
Aug 08, 2023
702: Llama 2 — It's Time to Upgrade your Open-Source LLM
Aug 04, 2023
701: Generative A.I. without the Privacy Risks (with Prof. Raluca Ada Popa)
Aug 01, 2023
700: "The Dream of Life" by Alan Watts
Jul 28, 2023
699: The Modern Data Stack, with Harry Glaser
Jul 25, 2023
698: How Firms Can Actually Adopt A.I., with Rehgan Avon
Jul 21, 2023
697: The (Short) Path to Artificial General Intelligence, with Dr. Ben Goertzel
Jul 18, 2023
696: Brain-Computer Interfaces and Neural Decoding, with Prof. Bob Knight
Jul 14, 2023
695: NLP with Transformers, feat. Hugging Face's Lewis Tunstall
Jul 11, 2023
694: CatBoost: Powerful, efficient ML for large tabular datasets
Jul 07, 2023
693: YOLO-NAS: The State of the Art in Machine Vision, with Harpreet Sahota
Jul 04, 2023
692: Lossless LLM Weight Compression: Run Huge Models on a Single GPU
Jun 30, 2023
691: A.I. Accelerators: Hardware Specialized for Deep Learning
Jun 27, 2023
690: How to Catch and Fix Harmful Generative A.I. Outputs
Jun 23, 2023
689: Observing LLMs in Production to Automatically Catch Issues
Jun 20, 2023
688: Six Reasons Why Building LLM Products Is Tricky
Jun 16, 2023
687: Generative Deep Learning, with David Foster
Jun 13, 2023
686: Open-Source "Responsible A.I." Tools, with Ruth Yakubu
Jun 09, 2023
685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake
Jun 06, 2023
684: Get More Language Context out of your LLM
Jun 02, 2023
683: Contextual A.I. for Adapting to Adversaries, with Dr. Matar Haller
May 30, 2023
682: Business Intelligence Tools, with Mico Yuk
May 26, 2023
681: XGBoost: The Ultimate Classifier, with Matt Harrison
May 23, 2023
680: Automating Industrial Machines with Data Science and the Internet of Things (IoT)
May 19, 2023
679: The A.I. and Machine Learning Landscape, with investor George Mathew
May 16, 2023
678: StableLM: Open-source "ChatGPT"-like LLMs you can fit on one GPU
May 12, 2023
677: Digital Analytics with Avinash Kaushik
May 09, 2023
676: The Chinchilla Scaling Laws
May 05, 2023
675: Pandas for Data Analysis and Visualization
May 02, 2023
674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation)
Apr 28, 2023
673: Taipy, the open-source Python application builder
Apr 25, 2023
672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0
Apr 21, 2023
671: Cloud Machine Learning
Apr 18, 2023
670: LLaMA: GPT-3 performance, 10x smaller
Apr 14, 2023
669: Streaming, reactive, real-time machine learning
Apr 11, 2023
668: GPT-4: Apocalyptic stepping stone?
Apr 07, 2023
667: Harnessing GPT-4 for your Commercial Advantage
Apr 04, 2023
666: GPT-4
Mar 31, 2023
665: How to be both socially impactful and financially successful in your data career
Mar 28, 2023
664: MIT Study: ChatGPT Dramatically Increases Productivity
Mar 24, 2023
663: Astonishing CICERO negotiates and builds trust with humans using natural language
Mar 21, 2023
662: The Most Popular SuperDataScience Podcast Episodes of 2022
Mar 17, 2023
661: Designing Machine Learning Systems
Mar 14, 2023
660: Five Ways to Use ChatGPT for Data Science
Mar 10, 2023
659: Open-Source Tools for Natural Language Processing
Mar 07, 2023
658: How to Build Data and ML Products Users Love
Mar 03, 2023
657: How to Learn Data Engineering
Feb 28, 2023
656: A.I. Talent and the Red-Hot A.I. Skills
Feb 24, 2023
655: AI ROI: How to get a profitable return on an AI-project investment
Feb 21, 2023
654: Mike Wimmer: The 14-Year-Old A.I. Entrepreneur
Feb 17, 2023
653: Efficiently Glean-ing Insights from Vast Data Warehouses
Feb 14, 2023
652: A.I. Speech for the Speechless
Feb 10, 2023
651: The Intentional Use of Color in Data Communication
Feb 07, 2023
650: SparseGPT: Remove 100 Billion Parameters but Retain 100% Accuracy
Feb 03, 2023
649: Introduction to Machine Learning
Jan 31, 2023
648: VALL-E: Uncannily Realistic Voice Imitation from a 3-Second Clip
Jan 27, 2023
647: Is Data Science Still Sexy?
Jan 24, 2023
646: ChatGPT: How to Extract Commercial Value Today
Jan 20, 2023
645: Machine Learning for Video Games
Jan 17, 2023
644: A Framework for Big Life Decisions
Jan 13, 2023
643: A.I. for Medicine
Jan 10, 2023
642: Continuous Calendar for 2023
Jan 06, 2023
641: Data Science Trends for 2023
Jan 03, 2023
640: What I Learned in 2022
Dec 30, 2022
639: Simplifying Machine Learning
Dec 27, 2022
638: ChatGPT Holiday Greeting
Dec 23, 2022
637: How to Influence Others with Your Data
Dec 20, 2022
636: The Equality Machine
Dec 16, 2022
635: The Perils of Manually Labeling Data for Machine Learning Models
Dec 13, 2022
634: Model Error Analysis
Dec 09, 2022
633: Responsible Decentralized Intelligence
Dec 06, 2022
632: Liquid Neural Networks
Dec 02, 2022
631: Data Analytics Career Orientation
Nov 29, 2022
630: Resilient Machine Learning
Nov 25, 2022
629: Software for Efficient Data Science
Nov 22, 2022
628: The Critical Human Element of Successful A.I. Deployments
Nov 18, 2022
627: AutoML: Automated Machine Learning
Nov 15, 2022
626: Subword Tokenization with Byte-Pair Encoding
Nov 11, 2022
625: Analyzing Blockchain Data and Cryptocurrencies
Nov 08, 2022
624: Imagen Video: Incredible Text-to-Video Generation
Nov 04, 2022
623: Data Analyst, Data Scientist, and Data Engineer Career Paths
Nov 01, 2022
622: Burnout: Causes and Solutions
Oct 28, 2022
621: Blockchains and Cryptocurrencies: Analytics and Data Applications
Oct 25, 2022
620: OpenAI Whisper: General-Purpose Speech Recognition
Oct 21, 2022
619: Tools for Deploying Data Models into Production
Oct 18, 2022
618: The Joy of Atelic Activities
Oct 14, 2022
617: Causal Modeling and Sequence Data
Oct 11, 2022
616: The Four Requirements for Expertise (beyond the “10,000 Hours”)
Oct 07, 2022
615: How to Ace Your Data Science Interview
Oct 04, 2022
614: Thriving on Information Overload
Sep 30, 2022
613: Causal Machine Learning
Sep 27, 2022
612: More Guests on Fridays
Sep 23, 2022
611: Open-Ended A.I.: Practical Applications for Humans and Machines
Sep 20, 2022
610: Who Dares Wins
Sep 16, 2022
SDS 609: Data Mesh
Sep 13, 2022
SDS 607: Inferring Causality
Sep 09, 2022
SDS 608: Daily Habit #11: Assigning Deliverables
Sep 08, 2022
SDS 606: Four Thousand Weeks
Sep 02, 2022
SDS 605: Upskilling in Data Science and Machine Learning
Aug 30, 2022
SDS 604: Ignition: A Landmark Nuclear Fusion Milestone is Achieved
Aug 26, 2022
SDS 603: Geospatial Data and Unconventional Routes into Data Careers
Aug 23, 2022
SDS 602: We Are Living in Ancient Times
Aug 19, 2022
SDS 601: Venture Capital for Data Science
Aug 16, 2022
SDS 600: Yoga Nidra Practice with Steve Fazzari
Aug 12, 2022
SDS 599: MLOps: Machine Learning Operations
Aug 09, 2022
SDS 598: Getting Kids Excited about STEM Subjects
Aug 05, 2022
SDS 597: A.I. Policy at OpenAI
Aug 02, 2022
SDS 596: The A.I. Platforms of the Future
Jul 29, 2022
SDS 595: Data Engineering 101
Jul 26, 2022
SDS 594: Why CEOs Care About A.I. More than Other Technologies
Jul 22, 2022
SDS 593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration
Jul 19, 2022
SDS 592: How to Sell a Multimillion Dollar A.I. Contract
Jul 15, 2022
SDS 591: Simulations and Synthetic Data for Machine Learning
Jul 12, 2022
SDS 590: Artificial General Intelligence is Not Nigh (Part 2 of 2)
Jul 08, 2022
SDS 589: Narrative A.I. with Hilary Mason
Jul 05, 2022
SDS 588: Artificial General Intelligence is Not Nigh
Jul 01, 2022
SDS 587: Data Engineering for Data Scientists
Jun 28, 2022
SDS 586: Daily Habit #10: Limit Social Media Use
Jun 24, 2022
SDS 585: PyMC for Bayesian Statistics in Python
Jun 21, 2022
SDS 584: OpenAI Codex
Jun 17, 2022
SDS 583: The State of Natural Language Processing
Jun 14, 2022
SDS 582: Model Speed vs Model Accuracy
Jun 10, 2022
SDS 581: Bayesian, Frequentist, and Fiducial Statistics in Data Science
Jun 07, 2022
SDS 580: Collecting Valuable Data
Jun 03, 2022
SDS 579: Transforming Dentistry with A.I.
May 31, 2022
SDS 578: Identifying Commercial ML Problems
May 27, 2022
SDS 577: Scaling A.I. Startups Globally
May 24, 2022
SDS 576: Tech Startup Dramas
May 20, 2022
SDS 575: Optimizing Computer Hardware with Deep Learning
May 17, 2022
SDS 574: Music for Deep Work
May 13, 2022
SDS 573: Automating ML Model Deployment
May 10, 2022
SDS 572: Daily Habit #9: Avoiding Messages Until a Set Time Each Day
May 06, 2022
SDS 571: Collaborative, No-Code Machine Learning
May 03, 2022
SDS 570: DALL-E 2: Stunning Photorealism from Any Text Prompt
Apr 29, 2022
SDS 569: A.I. For Crushing Humans at Poker and Board Games
Apr 26, 2022
SDS 568: PaLM: Google's Breakthrough Natural Language Model
Apr 22, 2022
SDS 567: Open-Access Publishing
Apr 19, 2022
SDS 566: The Best Time to Plant a Tree
Apr 15, 2022
SDS 565: AGI: The Apocalypse Machine
Apr 12, 2022
SDS 564: Clem Delangue on Hugging Face and Transformers
Apr 08, 2022
SDS 563: How to Rock at Data Science — with Tina Huang
Apr 05, 2022
SDS 562: Daily Habit #8: Math or Computer Science Exercise
Apr 01, 2022
SDS 561: Engineering Data APIs
Mar 29, 2022
SDS 560: Daily Habit #7: Read Two Pages
Mar 25, 2022
SDS 559: GPT-3 for Natural Language Processing
Mar 22, 2022
SDS 558: Jon's Answers to Questions on Machine Learning
Mar 18, 2022
SDS 557: Effective Pandas
Mar 15, 2022
SDS 556: Jon's Machine Learning Courses
Mar 11, 2022
SDS 555: Sports Analytics and 66 Days of Data with Ken Jee
Mar 08, 2022
SDS 554: Jon’s Deep Learning Courses
Mar 04, 2022
SDS 553: The Statistics and Machine Learning Quests of Dr. Josh Starmer
Mar 01, 2022
SDS 552: The Most Popular SuperDataScience Episodes of 2021
Feb 25, 2022
SDS 551: Deep Reinforcement Learning — with Wah Loon Keng
Feb 22, 2022
SDS 550: Daily Habit #6: Write Morning Pages
Feb 18, 2022
SDS 549: Engineering Natural Language Models — with Lauren Zhu
Feb 15, 2022
SDS 548: Daily Habit #5: Meditate
Feb 11, 2022
SDS 547: How Genes Influence Behavior — with Prof. Jonathan Flint
Feb 08, 2022
SDS 546: Daily Habit #4: Alternate-Nostril Breathing
Feb 04, 2022
SDS 545: Scaling Data-Intensive Real-Time Applications — with Matthew Russell
Feb 01, 2022
SDS 544: Daily Habit #3: Make Your Bed
Jan 28, 2022
SDS 543: Sparking A.I. Innovation — with Nicole Büttner
Jan 25, 2022
SDS 542: Continuous Calendar for 2022
Jan 21, 2022
SDS 541: Data Observability — with Dr. Kevin Hu
Jan 18, 2022
SDS 540: Daily Habit #2: Start the Day with a Glass of Water
Jan 14, 2022
SDS 539: Interpretable Machine Learning — with Serg Masís
Jan 11, 2022
SDS 538: Daily Habit #1: Track Your Habits
Jan 07, 2022
SDS 537: Data Science Trends for 2022
Jan 04, 2022
SDS 536: What I Learned in 2021
Dec 31, 2021
SDS 535: How to Found, Grow, and Sell a Data Science Start-up
Dec 28, 2021
SDS 534: A Holiday Greeting
Dec 24, 2021
SDS 533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully
Dec 21, 2021
SDS 532: Mutable vs Immutable Conditions
Dec 17, 2021
SDS 531: Data Science at the Command Line
Dec 14, 2021
SDS 530: Ten A.I. Thought Leaders to Follow (on Twitter)
Dec 10, 2021
SDS 529: A.I. Robotics at Home
Dec 07, 2021
SDS 528: The Normal Anxiety of Content Creation
Dec 03, 2021
SDS 527: Automating Data Analytics
Nov 30, 2021
SDS 526: The Highest-Paying Data Frameworks
Nov 26, 2021
SDS 525: Hurdling Over Data Career Obstacles
Nov 23, 2021
SDS 524: The Highest-Paying Data Tools
Nov 19, 2021
SDS 523: Open-Source Analytical Computing (pandas, Apache Arrow)
Nov 16, 2021
SDS 522: Data Tools vs. Data Platforms
Nov 12, 2021
SDS 521: Skyrocket Your Career by Sharing Your Writing
Nov 09, 2021
SDS 520: The Highest-Paying Programming Languages for Data Scientists
Nov 05, 2021
SDS 519: A.I. for Good
Nov 02, 2021
SDS 518: Fail More
Oct 29, 2021
SDS 517: Courses in Data Science and Machine Learning
Oct 26, 2021
SDS 516: Does Caffeine Hurt Productivity? (Part 3: Scientific Literature)
Oct 22, 2021
SDS 515: Accelerating Impact through Community — —with Chrys Wu
Oct 19, 2021
SDS 514: Does Caffeine Hurt Productivity? (Part 2: Experimental Results)
Oct 15, 2021
SDS 513: Transformers for Natural Language Processing
Oct 12, 2021
SDS 512: Does Caffeine Hurt Productivity? (Part 1)
Oct 08, 2021
SDS 511: Data Science for Private Investing —— LIVE with Drew Conway
Oct 05, 2021
SDS 510: Deep Reinforcement Learning
Oct 01, 2021
SDS 509: Accelerating Start-up Growth with A.I. Specialists
Sep 28, 2021
SDS 508: Building Your Ant Hill
Sep 24, 2021
SDS 507: Bayesian Statistics
Sep 21, 2021
SDS 506: Supervised vs Unsupervised Learning
Sep 17, 2021
SDS 505: From Data Science to Cinema
Sep 14, 2021
SDS 504: Classification vs Regression
Sep 10, 2021
SDS 503: Deep Reinforcement Learning for Robotics
Sep 07, 2021
SDS 502: Managing Imposter Syndrome
Sep 03, 2021
SDS 501: Statistical Programming with Friends
Aug 31, 2021
SDS 499: Data Meshes and Data Reliability
Aug 24, 2021
SDS 500: Yoga Nidra with Jes Allen
Aug 24, 2021
SDS 498: How Only Beginners Know Everything
Aug 20, 2021
SDS 497: Maximizing the Global Impact of Your Career
Aug 17, 2021
SDS 496: 2040: A Brain-Computer Interface Story
Aug 13, 2021
SDS 495: Successful AI Projects and AI Startups
Aug 10, 2021
SDS 494: How to Instantly Appreciate Being Alive
Aug 06, 2021
SDS 493: Bringing Data to the People
Aug 03, 2021
SDS 492: The World is Awful (and it's Never Been Better)
Jul 30, 2021
SDS 491: R in Production
Jul 27, 2021
SDS 490: Say No to Pie Charts
Jul 23, 2021
SDS 489: Monetizing Machine Learning
Jul 20, 2021
SDS 488: The Price of Your Attention
Jul 16, 2021
SDS 487: Fixing Dirty Data
Jul 13, 2021
SDS 486: The History of Calculus
Jul 09, 2021
SDS 485: Financial Data Engineering
Jul 06, 2021
SDS 484: Algorithm Aversion
Jul 02, 2021
SDS 483: Setting Yourself Apart in Data Science Interviews
Jun 29, 2021
SDS 482: The Continuous Calendar
Jun 25, 2021
SDS 481: Performance Marketing Analytics
Jun 22, 2021
SDS 480: Top Five Resume Tips
Jun 18, 2021
SDS 479: Knowledge Graphs
Jun 15, 2021
SDS 478: Five Keys to Success
Jun 11, 2021
SDS 477: How to Thrive as an Early-Career Data Scientist
Jun 08, 2021
SDS 476: Peer-Driven Learning
Jun 04, 2021
SDS 475: The 20% of Analytics Driving 80% of ROI
Jun 01, 2021
SDS 474: The Machine Learning House
May 28, 2021
SDS 473: Machine Learning at NVIDIA
May 25, 2021
SDS 472: The Learning Never Stops (so Relax)
May 21, 2021
SDS 471: 99 Days to Your First Data Science Job
May 18, 2021
SDS 470: My Favorite Books
May 14, 2021
SDS 469: Learning Deep Learning Together
May 11, 2021
SDS 468: The History of Data
May 07, 2021
SDS 467: High-Impact Data Science Made Easy
May 04, 2021
SDS 466: Good vs. Great Data Scientists
Apr 30, 2021
SDS 465: Analytics for Commercial and Personal Success
Apr 27, 2021
SDS 464: A.I. vs Machine Learning vs Deep Learning
Apr 23, 2021
SDS 463: Time Series Analysis
Apr 20, 2021
SDS 462: It Could Be Even Better
Apr 16, 2021
SDS 461: MLOps for Renewable Energy
Apr 14, 2021
SDS 460: The History of Algebra
Apr 09, 2021
SDS 459: Tackling Climate Change with ML
Apr 07, 2021
SDS 458: Behind the Scenes
Apr 02, 2021
SDS 457: Landing Your Data Science Dream Job
Apr 01, 2021
SDS 456: The Pomodoro Technique
Mar 26, 2021
SDS 455: Legal Tech, Powered by Machine Learning
Mar 24, 2021
SDS 454: The Staggering Pace of Progress Part 2
Mar 19, 2021
SDS 453: Big Global Problems Worth Solving with Machine Learning
Mar 17, 2021
SDS 452: The Staggering Pace of Progress
Mar 12, 2021
SDS 451: Translating PhD Research into ML Applications
Mar 11, 2021
SDS 450: Yoga Nidra
Mar 05, 2021
SDS 449: Fairness in A.I.
Mar 04, 2021
SDS 448: How to be a Data Science Leader
Feb 26, 2021
SDS 447: Commercial ML Opportunities Lie Everywhere
Feb 25, 2021
SDS 446: Getting Started in Machine Learning
Feb 19, 2021
SDS 445: Conversational A.I.
Feb 18, 2021
SDS 444: Future-Proofing Your Career
Feb 12, 2021
SDS 443: The End of Jobs
Feb 11, 2021
SDS 442: Data Science as an Atomic Habit
Feb 05, 2021
SDS 441: Communicating Data Effectively
Feb 04, 2021
SDS 440: MuZero: Learning Without Rules
Jan 29, 2021
SDS 439: Deep Learning for Machine Vision
Jan 28, 2021
SDS 438: Artificial General Intelligence
Jan 22, 2021
SDS 437: Data Science at a World-Leading Hedge Fund
Jan 20, 2021
SDS 436: Attention Sharpening Tools Part 2
Jan 15, 2021
SDS 435: Scaling Up Machine Learning
Jan 14, 2021
SDS 434: Attention Sharpening Tools Part 1
Jan 08, 2021
SDS 433: Data Science Trends for 2021
Jan 07, 2021
SDS 432: Hello from Jon and Welcome to 2021
Jan 01, 2021
SDS 431: One-on-one with Kirill: What I learned in 2020
Dec 31, 2020
SDS 430: Intellect and Intelligence
Dec 25, 2020
SDS 429: 2020's Biggest Data Science Breakthroughs
Dec 24, 2020
SDS 428: The Internal Conflict Model
Dec 18, 2020
SDS 427: Impacting Through Technology
Dec 17, 2020
SDS 426: The Shift: From Ambition to Meaning
Dec 11, 2020
SDS 425: The Past, Present, and Future of AI Services
Dec 10, 2020
SDS 424: A Symbiotic Relationship With AI
Dec 04, 2020
SDS 423: The Growth and Future of STEM in Africa
Dec 03, 2020
SDS 422: Pain Vs. Suffering
Nov 27, 2020
SDS 421: Real-World Applications of Digital Twins
Nov 26, 2020
SDS 420: Wheel of Life
Nov 20, 2020
SDS 419: Unlocking the Architecture of Innovation
Nov 19, 2020
SDS 418: Play With Feeling
Nov 13, 2020
SDS 417: Data Engineering and Product Development
Nov 12, 2020
SDS 416: My Advice for Career Success
Nov 06, 2020
SDS 415: Developing and Maintaining Your Technical and Soft Skills
Nov 05, 2020
SDS 414: Needs vs. Wants
Oct 30, 2020
SDS 413: Changing The World With Data
Oct 28, 2020
SDS 412: Stand More - Sit Less
Oct 23, 2020
SDS 411: Succeeding in Analytics by Thinking Outside the Data
Oct 21, 2020
SDS 410: Communicate Your Needs
Oct 16, 2020
SDS 409: Succeeding & Networking In The Virtual Space
Oct 14, 2020
SDS 408: Meaning is Everything
Oct 09, 2020
SDS 407: How to Encourage Diversity in Data Science
Oct 07, 2020
SDS 406: Abandon Hope
Oct 02, 2020
SDS 405: The Work of Quants and Data Scientists in the Financial Space
Sep 30, 2020
SDS 404: The Narrative Arc in Storytelling
Sep 25, 2020
SDS 403: Gamifying Your Data Science Work and Education
Sep 23, 2020
SDS 402: Face Your Demons
Sep 18, 2020
SDS 401: From Data Science Student to Professional
Sep 16, 2020
SDS 400: Think Bigger
Sep 11, 2020
SDS 399: Contributing to the Community of Data Scientists
Sep 09, 2020
SDS 398: Emotional Burnout
Sep 04, 2020
SDS 397: The Importance of Data Science Literacy
Sep 02, 2020
SDS 396: Five Job Hunting Tips
Aug 28, 2020
SDS 395: How to Tell Stories with Data
Aug 26, 2020
SDS 394: Teach It
Aug 21, 2020
SDS 393: The Importance of Keeping Science in Data Science
Aug 19, 2020
SDS 392: Start Your Own Morning Ritual
Aug 14, 2020
SDS 391: Data Science Campfire Tales with John Elder
Aug 12, 2020
SDS 390: Perception vs. Emotion
Aug 07, 2020
SDS 389: Becoming Good Enough: Jumpstarting Your Data Science Career
Aug 05, 2020
SDS 388: Get a Headhunter
Jul 31, 2020
SDS 387: Becoming a Data Science Leader
Jul 29, 2020
SDS 386: Cohort Analysis
Jul 24, 2020
SDS 385: Advanced Data Topics and People-Centered Data Science
Jul 22, 2020
SDS 384: 10 Tips to Become a Master Presenter
Jul 17, 2020
SDS 383: You're Not an Imposter, You're Learning: Data Science Journeys
Jul 15, 2020
SDS 382: Manage Cognitive Load in Data Science
Jul 10, 2020
SDS 381: How to Avoid Failing at Digital Transformation
Jul 08, 2020
SDS 380: Data Analyst vs. Data Scientist
Jul 03, 2020
SDS 379: Maelstrom, Chaos, and Mayhem: Guiding Your Data Science Career Path
Jul 01, 2020
SDS 378: Use Your Unconscious Mind
Jun 26, 2020
SDS 377: The Power of Women in STEM
Jun 24, 2020
SDS 376: Expose Yourself to New Ideas Regularly
Jun 19, 2020
SDS 375: Utilizing Oracle Cloud as an Enterprise, Small Business, or Developer
Jun 17, 2020
SDS 374: Remember to Wind Down
Jun 12, 2020
SDS 373: TensorFlow and AI Learnings for Developers
Jun 10, 2020
SDS 372: Understanding the P-Value
Jun 05, 2020
SDS 371: The Power of Memory For Productivity
Jun 03, 2020
SDS 370: What is Support Vector Regression (SVR)?
May 29, 2020
SDS 369: Real Data Analytics for Economics, HR, and COVID-19
May 27, 2020
SDS 368: Future-Proof Your Career
May 22, 2020
SDS 367: Building Data Pipelines for COVID-19 Modeling
May 20, 2020
SDS 366: Define Your Own Success
May 15, 2020
SDS 365: Deep Learning Models For Recruitment
May 13, 2020
SDS 364: Depression and Suicidal Thoughts
May 08, 2020
SDS 363: Intuition, Frameworks, and Unlocking the Power of Data
May 06, 2020
SDS 362: Hybrid AI
May 01, 2020
SDS 361: How To Succeed As An Analytics Consultant
Apr 29, 2020
SDS 360: Importance of Sleep
Apr 24, 2020
SDS 359: Tackling Data Science Job Hunting, Interviews & Negotiations
Apr 22, 2020
SDS 358: Racism and Discrimination
Apr 17, 2020
SDS 357: Emotions, Relationships, and Being Kind During the Pandemic
Apr 15, 2020
SDS 356: Working Remotely
Apr 10, 2020
SDS 355: DJ Patil on Harnessing the Power of Data Science Community
Apr 08, 2020
SDS 354: Negative Coefficients
Apr 03, 2020
SDS 353: How to Practice Human-Centric Data Science
Apr 01, 2020
SDS 352: History of Data Science - Part 5
Mar 27, 2020
SDS 351: Self-Starting In Data Science
Mar 25, 2020
SDS 350: Coronavirus
Mar 20, 2020
SDS 349: Human-in-the-Loop Algorithms in Retail
Mar 19, 2020
SDS 348: History of Data Science - Part 4
Mar 13, 2020
SDS 347: How To Tell Your Story For Career Success
Mar 12, 2020
SDS 346: My Top 5 Productivity Hacks
Mar 06, 2020
SDS 345: Machine Learning At Twitter
Mar 05, 2020
SDS 344: History of Data Science - Part 3
Feb 28, 2020
SDS 343: Career Jumpstarts through Data Science Retreat
Feb 27, 2020
SDS 342: History of Data Science - Part 2
Feb 21, 2020
SDS 341: Talking Robotics with Brandon Rohrer
Feb 20, 2020
SDS 340: History of Data Science - Part 1
Feb 14, 2020
SDS 339: The Power of Coaching
Feb 13, 2020
SDS 338: Too Many Photos
Feb 07, 2020
SDS 337: Hadley Wickham Talks Integration and Future of R and Python
Feb 06, 2020
SDS 336: Better Than Perfect
Jan 31, 2020
SDS 335: Many Ways to Fail & Five Ways to Succeed in Startups
Jan 30, 2020
SDS 334: No Coaching
Jan 24, 2020
SDS 333: BERT and NLP in 2020 and Beyond
Jan 23, 2020
SDS 332: Go through the Motions
Jan 17, 2020
SDS 331: Hacking Data Science Interviews for Graduates
Jan 16, 2020
SDS 330: Good!
Jan 10, 2020
SDS 329: Telling a Story Right with Data
Jan 09, 2020
SDS 328: Look for the Horse
Jan 03, 2020
SDS 327: Data Science Trends for 2020
Jan 02, 2020
SDS 326: Who Inspires You?
Dec 27, 2019
SDS 325: What I Learned in 2019
Dec 26, 2019
SDS 324: Proximity is Power #2
Dec 20, 2019
SDS 323: Data Science as a Freelance Career
Dec 19, 2019
SDS 322: Diets
Dec 13, 2019
SDS 321: The Life of One Advanced Data Scientist
Dec 12, 2019
SDS 320: Mentorship
Dec 06, 2019
SDS 319: The Path to Data Visualization
Dec 05, 2019
SDS 318: Amazing
Nov 29, 2019
SDS 317: A Deep Dive Into Neural Nets
Nov 28, 2019
SDS 316: Make It About Yourself
Nov 22, 2019
SDS 315: Making Data Accessible
Nov 21, 2019
SDS 314: Meet the Team
Nov 15, 2019
SDS 313: The Power of Online Data Education
Nov 14, 2019
SDS 312: Contemplation
Nov 08, 2019
SDS 311: Using Data Right In Smart Cities
Nov 07, 2019
SDS 310: Trial by Fire
Nov 01, 2019
SDS 309: Learning Through Competition
Oct 30, 2019
SDS 308: Your Tribe
Oct 25, 2019
SDS 307: Problem Solving Through Better Thinking
Oct 23, 2019
SDS 306: Pura Vida
Oct 18, 2019
SDS 305: Using Data Visualization Tools
Oct 16, 2019
SDS 304: The Law of Attraction
Oct 11, 2019
SDS 303: Proper Hypothesis Testing For Every Field
Oct 09, 2019
SDS 302: What is Data Science to you?
Oct 04, 2019
SDS 301: Finding Your Edge
Oct 02, 2019