Super Data Science: ML & AI Podcast with Jon Krohn

By Jon Krohn

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Subscribers: 643
Reviews: 1
Episodes: 847

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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
846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar
Dec 20, 2024
845: Tech is Our New Religion And It Needs Reformation, with Greg Epstein
Dec 17, 2024
844: In Case You Missed It in November 2024
Dec 13, 2024
843: Safe, Fast and Efficient AI, with Protopia’s Dr. Eiman Ebrahimi
Dec 10, 2024
842: Flexible AI Deployments Are Critical, with Chris Bennett and Joseph Balsamo
Dec 06, 2024
841: Andrew Ng on AI Vision, Agents and Business Value
Dec 03, 2024
840: Delicate Viticultural Robotics
Nov 29, 2024
839: Double Your Data Salary in 11 Months, with Jess Ramos
Nov 26, 2024
838: Consciousness and Machines, with Jennifer K. Hill
Nov 22, 2024
837: Career Success in the AI Era, with Deepali Vyas
Nov 19, 2024
836: How to Become Happier, with Dr. Nat Ware
Nov 15, 2024
835: AI Systems as Productivity Engines, with You.com’s Bryan McCann
Nov 12, 2024
834: In Case You Missed It in October 2024
Nov 08, 2024
833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson
Nov 05, 2024
832: The Anthropic CEO’s Techno-Utopia
Nov 01, 2024
831: PyTorch Lightning, Lit-Serve and Lightning Studios, with Dr. Luca Antiga
Oct 29, 2024
830: The “A.I.” Nobel Prizes (in Physics and Chemistry??)
Oct 25, 2024
829: Neuroscience Fueled by ML, with Prof. Bradley Voytek
Oct 22, 2024
828: Are “Citizen Data Scientists” A Myth? With Keith McCormick
Oct 18, 2024
827: Polars: Past, Present and Future, with Polars Creator Ritchie Vink
Oct 15, 2024
826: In Case You Missed It in September 2024
Oct 11, 2024
825: Data Contracts: The Key to Data Quality, with Chad Sanderson
Oct 08, 2024
824: Llama 3.2: Open-Source Edge and Multimodal LLMs
Oct 04, 2024
823: Virtual Humans and AI Clones, with Natalie Monbiot
Oct 01, 2024
822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents
Sep 27, 2024
821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman
Sep 24, 2024
820: OpenAI's o1 "Strawberry" Models
Sep 20, 2024
819: PyTorch: From Zero to Hero, with Luka Anicin
Sep 17, 2024
818: In Case You Missed It in August 2024
Sep 13, 2024
817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge
Sep 10, 2024
816: Explaining AGI to a 94-Year-Old
Sep 06, 2024
815: Polars: Faster DataFrame Ops, with Marco Gorelli
Sep 03, 2024
814: Summer Reflections
Aug 30, 2024
813: Solving Business Problems Optimally with Data, with Jerry Yurchisin
Aug 27, 2024
812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery
Aug 23, 2024
811: Scaling Data Science Teams Effectively, with Nick Elprin
Aug 20, 2024
810: The Five Levels of Self-Driving Cars
Aug 16, 2024
809: Agentic AI, with Shingai Manjengwa
Aug 13, 2024
808: In Case You Missed It in July 2024
Aug 09, 2024
807: Superintelligence and the Six Singularities, with Dr. Daniel Hulme
Aug 06, 2024
806: Llama 3.1 405B: The First Open-Source Frontier LLM
Aug 02, 2024
805: How to Be a Supercommunicator, with Charles Duhigg
Jul 30, 2024
804: AI x Solar Power = Abundant Energy
Jul 26, 2024
803: How to Thrive in Your (Data Science) Career, with Daliana Liu
Jul 23, 2024
802: In Case You Missed It in June 2024
Jul 19, 2024
801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard
Jul 16, 2024
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
609: Data Mesh
Sep 13, 2022
608: Daily Habit #11: Assigning Deliverables
Sep 09, 2022
607: Inferring Causality
Sep 06, 2022
606: Four Thousand Weeks
Sep 02, 2022
605: Upskilling in Data Science and Machine Learning
Aug 30, 2022
604: Ignition: A Landmark Nuclear Fusion Milestone is Achieved
Aug 26, 2022
603: Geospatial Data and Unconventional Routes into Data Careers
Aug 23, 2022
602: We Are Living in Ancient Times
Aug 19, 2022
601: Venture Capital for Data Science
Aug 16, 2022
600: Yoga Nidra Practice with Steve Fazzari
Aug 12, 2022
599: MLOps: Machine Learning Operations
Aug 09, 2022
598: Getting Kids Excited about STEM Subjects
Aug 05, 2022
597: A.I. Policy at OpenAI
Aug 02, 2022
596: The A.I. Platforms of the Future
Jul 29, 2022
595: Data Engineering 101
Jul 26, 2022
594: Why CEOs Care About A.I. More than Other Technologies
Jul 22, 2022
593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration
Jul 19, 2022
592: How to Sell a Multimillion Dollar A.I. Contract
Jul 15, 2022
591: Simulations and Synthetic Data for Machine Learning
Jul 12, 2022
590: Artificial General Intelligence is Not Nigh (Part 2 of 2)
Jul 08, 2022
589: Narrative A.I. with Hilary Mason
Jul 05, 2022
588: Artificial General Intelligence is Not Nigh
Jul 01, 2022
587: Data Engineering for Data Scientists
Jun 28, 2022
586: Daily Habit #10: Limit Social Media Use
Jun 24, 2022
585: PyMC for Bayesian Statistics in Python
Jun 21, 2022
584: OpenAI Codex
Jun 17, 2022
583: The State of Natural Language Processing
Jun 14, 2022
582: Model Speed vs Model Accuracy
Jun 10, 2022
581: Bayesian, Frequentist, and Fiducial Statistics in Data Science
Jun 07, 2022
580: Collecting Valuable Data
Jun 03, 2022
579: Transforming Dentistry with A.I.
May 31, 2022
578: Identifying Commercial ML Problems
May 27, 2022
577: Scaling A.I. Startups Globally
May 24, 2022
576: Tech Startup Dramas
May 20, 2022
575: Optimizing Computer Hardware with Deep Learning
May 17, 2022
574: Music for Deep Work
May 13, 2022
573: Automating ML Model Deployment
May 10, 2022
572: Daily Habit #9: Avoiding Messages Until a Set Time Each Day
May 06, 2022
571: Collaborative, No-Code Machine Learning
May 03, 2022
570: DALL-E 2: Stunning Photorealism from Any Text Prompt
Apr 29, 2022
569: A.I. For Crushing Humans at Poker and Board Games
Apr 26, 2022
568: PaLM: Google's Breakthrough Natural Language Model
Apr 22, 2022
567: Open-Access Publishing
Apr 19, 2022
566: The Best Time to Plant a Tree
Apr 15, 2022
565: AGI: The Apocalypse Machine
Apr 12, 2022
564: Clem Delangue on Hugging Face and Transformers
Apr 08, 2022
563: How to Rock at Data Science — with Tina Huang
Apr 05, 2022
562: Daily Habit #8: Math or Computer Science Exercise
Apr 01, 2022
561: Engineering Data APIs
Mar 29, 2022
560: Daily Habit #7: Read Two Pages
Mar 25, 2022
559: GPT-3 for Natural Language Processing
Mar 22, 2022
558: Jon's Answers to Questions on Machine Learning
Mar 18, 2022
557: Effective Pandas
Mar 15, 2022
556: Jon's Machine Learning Courses
Mar 11, 2022
555: Sports Analytics and 66 Days of Data with Ken Jee
Mar 08, 2022
554: Jon's Deep Learning Courses
Mar 04, 2022
553: The Statistics and Machine Learning Quests of Dr. Josh Starmer
Mar 01, 2022
552: The Most Popular SuperDataScience Episodes of 2021
Feb 25, 2022
551: Deep Reinforcement Learning — with Wah Loon Keng
Feb 22, 2022
550: Daily Habit #6: Write Morning Pages
Feb 18, 2022
549: Engineering Natural Language Models — with Lauren Zhu
Feb 15, 2022
548: Daily Habit #5: Meditate
Feb 11, 2022
547: How Genes Influence Behavior — with Prof. Jonathan Flint
Feb 08, 2022
546: Daily Habit #4: Alternate-Nostril Breathing
Feb 04, 2022
545: Scaling Data-Intensive Real-Time Applications — with Matthew Russell
Feb 01, 2022
544: Daily Habit #3: Make Your Bed
Jan 28, 2022
543: Sparking A.I. Innovation — with Nicole Büttner
Jan 25, 2022
542: Continuous Calendar for 2022
Jan 21, 2022
541: Data Observability — with Dr. Kevin Hu
Jan 18, 2022
540: Daily Habit #2: Start the Day with a Glass of Water
Jan 14, 2022
539: Interpretable Machine Learning — with Serg Masís
Jan 11, 2022
538: Daily Habit #1: Track Your Habits
Jan 07, 2022
537: Data Science Trends for 2022
Jan 04, 2022
536: What I Learned in 2021
Dec 31, 2021
535: How to Found, Grow, and Sell a Data Science Start-up
Dec 28, 2021
534: A Holiday Greeting
Dec 24, 2021
533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully
Dec 21, 2021
532: Mutable vs Immutable Conditions
Dec 17, 2021
531: Data Science at the Command Line
Dec 14, 2021
530: Ten A.I. Thought Leaders to Follow (on Twitter)
Dec 10, 2021
529: A.I. Robotics at Home
Dec 07, 2021
528: The Normal Anxiety of Content Creation
Dec 03, 2021
527: Automating Data Analytics
Nov 30, 2021
526: The Highest-Paying Data Frameworks
Nov 26, 2021
525: Hurdling Over Data Career Obstacles
Nov 23, 2021
524: The Highest-Paying Data Tools
Nov 19, 2021
523: Open-Source Analytical Computing (pandas, Apache Arrow)
Nov 16, 2021
522: Data Tools vs. Data Platforms
Nov 12, 2021
521: Skyrocket Your Career by Sharing Your Writing
Nov 09, 2021
520: The Highest-Paying Programming Languages for Data Scientists
Nov 05, 2021
519: A.I. for Good
Nov 02, 2021
518: Fail More
Oct 29, 2021
517: Courses in Data Science and Machine Learning
Oct 26, 2021
516: Does Caffeine Hurt Productivity? (Part 3: Scientific Literature)
Oct 22, 2021
515: Accelerating Impact through Community — with Chrys Wu
Oct 19, 2021
514: Does Caffeine Hurt Productivity? (Part 2: Experimental Results)
Oct 15, 2021
513: Transformers for Natural Language Processing
Oct 12, 2021
512: Does Caffeine Hurt Productivity? (Part 1)
Oct 08, 2021
511: Data Science for Private Investing — LIVE with Drew Conway
Oct 05, 2021
510: Deep Reinforcement Learning
Oct 01, 2021
509: Accelerating Start-up Growth with A.I. Specialists
Sep 28, 2021
508: Building Your Ant Hill
Sep 24, 2021
507: Bayesian Statistics
Sep 21, 2021
506: Supervised vs Unsupervised Learning
Sep 17, 2021
505: From Data Science to Cinema
Sep 14, 2021
504: Classification vs Regression
Sep 10, 2021
503: Deep Reinforcement Learning for Robotics
Sep 07, 2021
502: Managing Imposter Syndrome
Sep 03, 2021
501: Statistical Programming with Friends
Aug 31, 2021
500: Yoga Nidra with Jes Allen
Aug 27, 2021
499: Data Meshes and Data Reliability
Aug 24, 2021
498: How Only Beginners Know Everything
Aug 20, 2021
497: Maximizing the Global Impact of Your Career
Aug 17, 2021
496: 2040: A Brain-Computer Interface Story
Aug 13, 2021
495: Successful AI Projects and AI Startups
Aug 11, 2021
494: How to Instantly Appreciate Being Alive
Aug 06, 2021
493: Bringing Data to the People
Aug 03, 2021
492: The World is Awful (and it's Never Been Better)
Jul 30, 2021
491: R in Production
Jul 27, 2021
490: Say No to Pie Charts
Jul 23, 2021
489: Monetizing Machine Learning
Jul 20, 2021
488: The Price of Your Attention
Jul 16, 2021
487: Fixing Dirty Data
Jul 13, 2021
486: The History of Calculus
Jul 09, 2021
485: Financial Data Engineering
Jul 06, 2021
484: Algorithm Aversion
Jul 02, 2021
483: Setting Yourself Apart in Data Science Interviews
Jun 29, 2021
482: Continuous Calendars
Jun 25, 2021
481: Performance Marketing Analytics
Jun 22, 2021
480: Top Five Resume Tips
Jun 18, 2021
479: Knowledge Graphs
Jun 15, 2021
478: Five Keys to Success
Jun 11, 2021
477: How to Thrive as an Early-Career Data Scientist
Jun 08, 2021
476: Peer-Driven Learning
Jun 04, 2021
475: The 20% of Analytics Driving 80% of ROI
Jun 01, 2021
474: The Machine Learning House
May 28, 2021
473: Machine Learning at NVIDIA
May 25, 2021
472: The Learning Never Stops (so Relax)
May 21, 2021
471: 99 Days to Your First Data Science Job
May 18, 2021
470: My Favorite Books
May 14, 2021
469: Learning Deep Learning Together
May 11, 2021
468: The History of Data
May 07, 2021
467: High-Impact Data Science Made Easy
May 04, 2021
466: Good vs. Great Data Scientists
Apr 30, 2021
465: Analytics for Commercial and Personal Success
Apr 27, 2021
464: A.I. vs Machine Learning vs Deep Learning
Apr 23, 2021
463: Time Series Analysis
Apr 20, 2021
462: It Could Be Even Better
Apr 16, 2021
461: MLOps for Renewable Energy
Apr 14, 2021
460: The History of Algebra
Apr 09, 2021
459: Tackling Climate Change with ML
Apr 07, 2021
458: Behind the Scenes
Apr 02, 2021
457: Landing Your Data Science Dream Job
Apr 01, 2021
456: The Pomodoro Technique
Mar 26, 2021
455: Legal Tech, Powered by Machine Learning
Mar 24, 2021
454: The Staggering Pace of Progress Part 2
Mar 19, 2021
453: Big Global Problems Worth Solving with Machine Learning
Mar 17, 2021
452: The Staggering Pace of Progress
Mar 12, 2021
451: Translating PhD Research into ML Applications
Mar 11, 2021
450: Yoga Nidra
Mar 05, 2021
449: Fairness in A.I.
Mar 04, 2021
448: How to be a Data Science Leader
Feb 26, 2021
447: Commercial ML Opportunities Lie Everywhere
Feb 25, 2021
446: Getting Started in Machine Learning
Feb 19, 2021
445: Conversational A.I.
Feb 18, 2021
444: Future-Proofing Your Career
Feb 12, 2021
443: The End of Jobs
Feb 11, 2021
442: Data Science as an Atomic Habit
Feb 05, 2021
441: Communicating Data Effectively
Feb 04, 2021
440: MuZero: Learning Without Rules
Jan 29, 2021
439: Deep Learning for Machine Vision
Jan 28, 2021
438: Artificial General Intelligence
Jan 22, 2021
437: Data Science at a World-Leading Hedge Fund
Jan 20, 2021
436: Attention Sharpening Tools Part 2
Jan 15, 2021
435: Scaling Up Machine Learning
Jan 14, 2021
434: Attention Sharpening Tools Part 1
Jan 08, 2021
433: Data Science Trends for 2021
Jan 07, 2021
432: Hello from Jon and Welcome to 2021
Jan 01, 2021
431: One-on-one with Kirill: What I learned in 2020
Dec 31, 2020
430: Intellect and Intelligence
Dec 25, 2020
429: 2020's Biggest Data Science Breakthroughs
Dec 24, 2020
428: The Internal Conflict Model
Dec 18, 2020
427: Impacting Through Technology
Dec 17, 2020
426: The Shift: From Ambition to Meaning
Dec 11, 2020
425: The Past, Present, and Future of AI Services
Dec 10, 2020
424: A Symbiotic Relationship With AI
Dec 04, 2020
423: The Growth and Future of STEM in Africa
Dec 03, 2020
422: Pain Vs. Suffering
Nov 27, 2020
421: Real-World Applications of Digital Twins
Nov 26, 2020
420: Wheel of Life
Nov 20, 2020
419: Unlocking the Architecture of Innovation
Nov 19, 2020
418: Play With Feeling
Nov 13, 2020
417: Data Engineering and Product Development
Nov 12, 2020
416: My Advice for Career Success
Nov 06, 2020
415: Developing and Maintaining Your Technical and Soft Skills
Nov 05, 2020
414: Needs vs. Wants
Oct 30, 2020
413: Changing The World With Data
Oct 28, 2020
412: Stand More - Sit Less
Oct 23, 2020
411: Succeeding in Analytics by Thinking Outside the Data
Oct 21, 2020
410: Communicate Your Needs
Oct 16, 2020
409: Succeeding & Networking In The Virtual Space
Oct 14, 2020
408: Meaning is Everything
Oct 09, 2020
407: How to Encourage Diversity in Data Science
Oct 07, 2020
406: Abandon Hope
Oct 02, 2020
405: The Work of Quants and Data Scientists in the Financial Space
Sep 30, 2020
404: The Narrative Arc in Storytelling
Sep 25, 2020
403: Gamifying Your Data Science Work and Education
Sep 23, 2020
402: Face Your Demons
Sep 18, 2020
401: From Data Science Student to Professional
Sep 16, 2020
400: Think Bigger
Sep 11, 2020
399: Contributing to the Community of Data Scientists
Sep 09, 2020
398: Emotional Burnout
Sep 04, 2020
397: The Importance of Data Science Literacy
Sep 02, 2020
396: Five Job Hunting Tips
Aug 28, 2020
395: How to Tell Stories with Data
Aug 26, 2020
394: Teach It
Aug 21, 2020
393: The Importance of Keeping Science in Data Science
Aug 19, 2020
392: Start Your Own Morning Ritual
Aug 14, 2020
391: Data Science Campfire Tales with John Elder
Aug 12, 2020
390: Perception vs. Emotion
Aug 07, 2020
389: Becoming Good Enough: Jumpstarting Your Data Science Career
Aug 05, 2020
388: Get a Headhunter
Jul 31, 2020
387: Becoming a Data Science Leader
Jul 29, 2020
386: Cohort Analysis
Jul 24, 2020
385: Advanced Data Topics and People-Centered Data Science
Jul 22, 2020
384: 10 Tips to Become a Master Presenter
Jul 17, 2020
383: You're Not an Imposter, You're Learning: Data Science Journeys
Jul 15, 2020
382: Manage Cognitive Load in Data Science
Jul 10, 2020
381: How to Avoid Failing at Digital Transformation
Jul 08, 2020
380: Data Analyst vs. Data Scientist
Jul 03, 2020
379: Maelstrom, Chaos, and Mayhem: Guiding Your Data Science Career Path
Jul 01, 2020
378: Use Your Unconscious Mind
Jun 26, 2020
377: The Power of Women in STEM
Jun 24, 2020
376: Expose Yourself to New Ideas Regularly
Jun 19, 2020
375: Utilizing Oracle Cloud as an Enterprise, Small Business, or Developer
Jun 17, 2020
374: Remember to Wind Down
Jun 12, 2020
373: TensorFlow and AI Learnings for Developers
Jun 10, 2020
372: Understanding the P-Value
Jun 05, 2020
371: The Power of Memory For Productivity
Jun 03, 2020
370: What is Support Vector Regression (SVR)?
May 29, 2020
369: Real Data Analytics for Economics, HR, and COVID-19
May 27, 2020
368: Future-Proof Your Career
May 22, 2020
367: Building Data Pipelines for COVID-19 Modeling
May 20, 2020
366: Define Your Own Success
May 15, 2020
365: Deep Learning Models For Recruitment
May 13, 2020
364: Depression and Suicidal Thoughts
May 08, 2020
363: Intuition, Frameworks, and Unlocking the Power of Data
May 06, 2020
362: Hybrid AI
May 01, 2020
361: How To Succeed As An Analytics Consultant
Apr 29, 2020
360: Importance of Sleep
Apr 24, 2020
359: Tackling Data Science Job Hunting, Interviews & Negotiations
Apr 22, 2020
358: Racism and Discrimination
Apr 17, 2020
357: Emotions, Relationships, and Being Kind During the Pandemic
Apr 15, 2020
356: Working Remotely
Apr 10, 2020
355: DJ Patil on Harnessing the Power of Data Science Community
Apr 08, 2020
354: Negative Coefficients
Apr 03, 2020
353: How to Practice Human-Centric Data Science
Apr 01, 2020
352: History of Data Science - Part 5
Mar 27, 2020
351: Self-Starting In Data Science
Mar 25, 2020
350: Coronavirus
Mar 20, 2020
349: Human-in-the-Loop Algorithms in Retail
Mar 19, 2020
348: History of Data Science - Part 4
Mar 13, 2020
347: How To Tell Your Story For Career Success
Mar 12, 2020
346: My Top 5 Productivity Hacks
Mar 06, 2020
345: Machine Learning At Twitter
Mar 05, 2020
344: History of Data Science - Part 3
Feb 28, 2020
343: Career Jumpstarts through Data Science Retreat
Feb 27, 2020
342: History of Data Science - Part 2
Feb 21, 2020
341: Talking Robotics with Brandon Rohrer
Feb 20, 2020
340: History of Data Science - Part 1
Feb 14, 2020
339: The Power of Coaching
Feb 13, 2020
338: Too Many Photos
Feb 07, 2020
337: Hadley Wickham Talks Integration and Future of R and Python
Feb 06, 2020
336: Better Than Perfect
Jan 31, 2020
335: Many Ways to Fail & Five Ways to Succeed in Startups
Jan 30, 2020
334: No Coaching
Jan 24, 2020
333: BERT and NLP in 2020 and Beyond
Jan 23, 2020
332: Go through the Motions
Jan 17, 2020
331: Hacking Data Science Interviews for Graduates
Jan 16, 2020
330: Good!
Jan 10, 2020
329: Telling a Story Right with Data
Jan 09, 2020
328: Look for the Horse
Jan 03, 2020
327: Data Science Trends for 2020
Jan 02, 2020
326: Who Inspires You?
Dec 27, 2019
325: What I Learned in 2019
Dec 26, 2019
324: Proximity is Power #2
Dec 20, 2019
323: Data Science as a Freelance Career
Dec 19, 2019
322: Diets
Dec 13, 2019
321: The Life of One Advanced Data Scientist
Dec 12, 2019
320: Mentorship
Dec 06, 2019
319: The Path to Data Visualization
Dec 05, 2019
318: Amazing
Nov 29, 2019
317: A Deep Dive Into Neural Nets
Nov 28, 2019
316: Make It About Yourself
Nov 22, 2019
315: Making Data Accessible
Nov 21, 2019
314: Meet the Team
Nov 15, 2019
313: The Power of Online Data Education
Nov 14, 2019
312: Contemplation
Nov 08, 2019
311: Using Data Right In Smart Cities
Nov 07, 2019
310: Trial by Fire
Nov 01, 2019
309: Learning Through Competition
Oct 30, 2019
308: Your Tribe
Oct 25, 2019
307: Problem Solving Through Better Thinking
Oct 23, 2019
306: Pura Vida
Oct 18, 2019
305: Using Data Visualization Tools
Oct 16, 2019
304: The Law of Attraction
Oct 11, 2019
303: Proper Hypothesis Testing For Every Field
Oct 09, 2019
302: What is Data Science to you?
Oct 04, 2019
301: Finding Your Edge
Oct 02, 2019
300: Legacy
Sep 27, 2019
299: Becoming Seasoned At Failure
Sep 25, 2019
298: The Six Months Rule
Sep 20, 2019
297: Fortitude & Passion in the Data Science Journey
Sep 18, 2019
296: Who You Become
Sep 13, 2019
295: A Deep Conversation About Tech & Life
Sep 11, 2019
294: Perception of AI in Big Companies
Sep 06, 2019
293: True Personalization Through Reinforcement Learning
Sep 04, 2019
292: Introverts and Extroverts
Aug 30, 2019
291: Changing the World With Theory & Data
Aug 28, 2019
290: The Passion Paradox
Aug 23, 2019
289: AI, Deepfakes and Call of Duty
Aug 21, 2019
288: Love Yourself
Aug 16, 2019
287: How To Be Social About Data Science
Aug 14, 2019
286: Solitude Deprivation
Aug 09, 2019
285: Bringing Dev & Diverse Communities Into Data Science
Aug 07, 2019
284: Proximity is Power
Aug 02, 2019
283: Getting The Most Out of Data With Gradient Boosting
Jul 31, 2019
282: Learning Something New
Jul 26, 2019
281: Futureproofing Your Digital Marketing Tactics
Jul 24, 2019
280: Gap Year
Jul 19, 2019
279: Embedding Data Science in Business
Jul 17, 2019
278: Your Core Strength
Jul 12, 2019
277: The New Age of Reason
Jul 10, 2019
276: Data Science in Wealth Management
Jul 05, 2019
275: Machine Learning Through Reinforcement & Contextual Bandits
Jul 03, 2019
274: Ask the Right Question
Jun 28, 2019
273: Predict, Prevent, Detect: Cyber Security
Jun 26, 2019
272: Data Science in Energy
Jun 21, 2019
271: Making the Public Graphically Literate
Jun 19, 2019
270: The Cold is My Master
Jun 14, 2019
269: Maximizing Advertising Efforts With Data
Jun 12, 2019
268: Data Science in Insurance
Jun 07, 2019
267: Achieving Data Science Maturity
Jun 05, 2019
266: Exploration vs Exploitation
May 31, 2019
265: Data Science in the World of Big Data
May 29, 2019
264: Data Science in Agriculture
May 24, 2019
263: Communicating Data
May 22, 2019
262: You Cannot Make Progress Without a Routine
May 17, 2019
261: Succeeding in Data Science with the Trichotomy of Control
May 15, 2019
260: Data Science in Real Estate
May 10, 2019
259: Building Machine Autonomy With Neural Networks
May 08, 2019
258: Eating S.L.O.W.L.Y.
May 03, 2019
257: AI: How Far We Haven’t Actually Come
May 01, 2019
256: Data Science in Transportation
Apr 26, 2019
255: Diving Into Computer Vision
Apr 24, 2019
254: Two Wolves
Apr 19, 2019
253: Solving Problems With Data Science & Uber
Apr 17, 2019
252: Data Science In Construction
Apr 12, 2019
251: Transforming the Identity Authentication Space
Apr 10, 2019
250: Guilt vs Shame
Apr 05, 2019
249: Diving Into Data Science Consulting
Apr 03, 2019
248: Data Science in Government
Mar 29, 2019
247: The Science Fact of Technology, AI, & Social Media
Mar 27, 2019
246: Boost Your Self-Confidence
Mar 22, 2019
245: Knowing What You Need to Know With Data Science
Mar 20, 2019
244: Data Science in Entertainment
Mar 15, 2019
243: Geospatial Analytics: Where Data Science & Actuarial Science Meet
Mar 13, 2019
242: Meditation
Mar 08, 2019
241: Pushing the Boundaries in Mental Healthcare with Data Science
Mar 07, 2019
240: State of Artificial Intelligence in Business
Mar 01, 2019
239: From Candidate to Career: Pathways for Data Scientists
Feb 28, 2019
238: Data Science in Banking
Feb 22, 2019
237: Data Privacy, GDPR, and You
Feb 21, 2019
236: How to Deal with Negative Emotions
Feb 15, 2019
235: Living the Dream With Data Science
Feb 14, 2019
234: Data Science in Education
Feb 08, 2019
233: High Octane Data Science Leadership at Red Bull
Feb 07, 2019
232: Sleep on it
Feb 01, 2019
231: Data Visualizers: The Storytellers of Data Science
Jan 31, 2019
230: SuperDataScience 2.0
Jan 25, 2019
229: Data-Driven Approach of Doing Business
Jan 24, 2019
228: Data Science in Mining
Jan 18, 2019
227: Enhancing Your Mobile Gaming Experience With Data Science
Jan 17, 2019
226: Flat Tyres Happen
Jan 11, 2019
225: The Benefit of Having a Diverse Skill Set
Jan 10, 2019
224: Hacks For Reading More Books
Jan 04, 2019
223: Data Science Trends for 2019
Jan 03, 2019
222: 2018 in Numbers
Dec 28, 2018
221: 1-on-1 with Kirill: What I learned in 2018
Dec 27, 2018
220: Data Science in Retail
Dec 21, 2018
219: How Kaplan uses Data for Education
Dec 20, 2018
218: Start A Great Day
Dec 14, 2018
217: Aerospace Engineers and Data Science
Dec 13, 2018
216: Data Science In Healthcare
Dec 07, 2018
215: Integrating Data Science as a Developer
Dec 06, 2018
214: What Is Amazing In Your Life
Nov 30, 2018
213: Amazing Tips from Two Legends of Visualization
Nov 29, 2018
212: Model Driven Vs Data Driven
Nov 23, 2018
211: Working on Apache Spark & R Package Development
Nov 22, 2018
210: Compete With Yourself
Nov 16, 2018
SDS 209: Full-Time Data Scientist after just 1 year in the field
Nov 15, 2018
208: Re-live DSGO2018
Nov 09, 2018
207: The Technical Skills that Actually Add Business Value
Nov 08, 2018
206: Machine Learning is All Aroud You
Nov 02, 2018
205: Contributing to the community as a Data Science Influencer
Oct 31, 2018
204: Set Your Goals Higher
Oct 26, 2018
203: Highlights of DSGO 2018 According to an Aspiring Data Scientist
Oct 24, 2018
202: Ideas and Execution
Oct 19, 2018
201: Emerging Technologies: Challenges and Opportunities in a Revolutionized World
Oct 18, 2018
200: What’s the Future of Data Science? Speaker Mashup Edition
Oct 12, 2018
199: Data Visualization Insights from NYU
Oct 10, 2018
198: Two Millimeter Shifts
Oct 05, 2018
197: How to be Happy and Successful
Oct 03, 2018
196: Diversity in Data Science
Sep 28, 2018
195: Inspiration from the Founder of the R Ladies Organization
Sep 26, 2018
194: Why I Became Vegan
Sep 21, 2018
193: A serious talk on AI taking over jobs
Sep 19, 2018
192: Ace the "Greatest Weakness" Interview Question
Sep 14, 2018
191: Helping San Diego Become a Smart City
Sep 12, 2018
190: See You in San Diego
Sep 07, 2018
189: How I Got 45,000 Linkedin Followers in One Year
Sep 05, 2018
188: 6 Ways to Fill the Data Science Gap
Aug 31, 2018
187: How Data Science is Becoming a Science
Aug 29, 2018
186: Why Execution Trumps Knowledge
Aug 24, 2018
185: The Pre-Requisites for Analytics to Happen
Aug 22, 2018
184: Why You Need Domain Knowledge in Data Science
Aug 17, 2018
183: Everything about Data Analytics & its Future
Aug 15, 2018
182: The Importance of the Data Science Community
Aug 10, 2018
181: 10 Tips from a Data Science Consultant
Aug 08, 2018
180: The Idea Behind Essentialism
Aug 03, 2018
179: How a Data Science Recruiter Thinks
Aug 01, 2018
178: Visualization in Data Science
Jul 27, 2018
177: Building a Career in Data Science
Jul 25, 2018
176: The Importance of Storytelling in Data Science
Jul 20, 2018
175: Insights from the Founder of KDnuggets
Jul 18, 2018
174: A Technology Detox Challenge
Jul 13, 2018
173: Understanding Robotics Process Automation (RPA) to Disrupt Your Business
Jul 11, 2018
172: Why You Need to Go Beyond the Data
Jul 06, 2018
171: Deep dive into R Programming & R Studio
Jul 04, 2018
170: Tips for a Bumpy Ride
Jun 29, 2018
169: Data Science: Technology and Philanthropy
Jun 27, 2018
168: Focus on Your Strengths and Ignore Your Weaknesses
Jun 22, 2018
167: Why All Companies Need a Data Science Culture
Jun 20, 2018
166: Should You Be Effective or Efficient?
Jun 15, 2018
165: Giving Back to the Data Science Community
Jun 13, 2018
164: Love Languages and How They Impact Your Life
Jun 08, 2018
163: How to Deal with Disruptive Technologies
Jun 07, 2018
162: What I Learned from a 10 Day Detox
Jun 01, 2018
161: Using AI to Automate Communication
May 30, 2018
160: Up Your Presentation Skills with Toastmasters
May 25, 2018
159: From Developer to Data Scientist
May 23, 2018
158: Maximize Life with the Rapid Planning Method
May 18, 2018
157: The Amazing World of a Data Science Meetup
May 16, 2018
156: Parkinson's Law to Increase Productivity
May 11, 2018
155: How AI and Blockchain Converge
May 09, 2018
154: Why Socializing is Crucial
May 04, 2018
153: Tips to Improve your Memory
May 02, 2018
152: Data Science GO 2018
Apr 27, 2018
151: Women in Data Science & How to Help
Apr 25, 2018
150: Have a Mentor
Apr 20, 2018
149: Data Science Tips for Startups to Large Companies
Apr 18, 2018
148: The Trolley Problem
Apr 13, 2018
147: How to Live a More Fulfilling Life - Time & Energy Management
Apr 11, 2018
146: Empathy and Compassion
Apr 06, 2018
145: How to Use Data Science In Offline Business
Apr 04, 2018
144: Two Things to Remember and Two Things to Forget
Mar 30, 2018
143: Why Sensors and the Internet of Things are Becoming A Critical Part of Data Science
Mar 28, 2018
142: Coworking
Mar 23, 2018
141: Supply Chain Analytics, Worldwide Consulting and Learning Data Science In Your Career
Mar 21, 2018
140: Upper Limiting
Mar 16, 2018
139: The Rise of Blockchain: A Disruptive Super-Technology Much More Than Bitcoin
Mar 14, 2018
138: Zone of Genius
Mar 09, 2018
137: Cloud Technology: How It’s Changing Data Science, Collaboration and Enterprise
Mar 08, 2018
136: Learn Blockchain!
Mar 02, 2018
135: How Directors of Data Science Changes the World with Machine Learning and AI
Feb 28, 2018
134: How do Lobsters Grow?
Feb 23, 2018
133: How a Passion for Tableau Changed a Life
Feb 22, 2018
132: The Data-Driven Executive
Feb 16, 2018
131: The One Purpose to Data Science and The Truth about Analytics
Feb 15, 2018
130: Instant Gratification Monkey
Feb 09, 2018
129: Database Challenges for Data Science and How to Deal With Them
Feb 08, 2018
128: Confident Data Skills
Feb 02, 2018
127: No Compromise: Tableau, Twitter and Fearless Career Shifts
Jan 31, 2018
126: Ender's Game
Jan 26, 2018
125: A Glimpse into the Virtual Reality World of the Future
Jan 24, 2018
124: Reckless Commitment
Jan 19, 2018
123: How to be Unstoppable: Data Science, Reckless Commitment & Artificial Intelligence
Jan 17, 2018
122: Who Moved My Cheese?
Jan 12, 2018
121: Building a Successful Data Science Practice and How to be an Effective Data Scientist
Jan 10, 2018
120: Technological Singularity
Jan 05, 2018
119: Data Science Trends for 2018
Jan 03, 2018
118: New Year Resolutions
Dec 29, 2017
117: 1-on-1 with Kirill: What I learned in 2017
Dec 28, 2017
116: The Power of Gratitude
Dec 22, 2017
115: Application of Geospatial Analytics to Business and Real Life
Dec 21, 2017
114: Expand Your Comfort Zone
Dec 15, 2017
113: How Constant Learning Created a Jet-Set Career
Dec 13, 2017
112: How to Win Friends & Influence People
Dec 08, 2017
111: The Power of Soft Skills in Data Science
Dec 06, 2017
110: AlphaGo Zero
Dec 02, 2017
109: Business Consultancy in the Space of Data Science
Nov 29, 2017
108: Working Remotely
Nov 24, 2017
107: Charting a Career in Energy Analytics
Nov 22, 2017
106: Recap of our DataScienceGO 2017 Conference
Nov 17, 2017
105: DataScienceGO’s Discussion Panel on Careers
Nov 15, 2017
104: Board Games
Nov 10, 2017
103: Why this Is the Golden Age of Data Science & How to Get In
Nov 08, 2017
102: Intuition vs Mathematics in Data Science
Nov 03, 2017
101: What a Data Science Headhunter is Looking For
Nov 01, 2017
100: 100 Episodes
Oct 27, 2017
099: How a Software Developer Re-Focused his life to Learn Artificial Intelligence
Oct 25, 2017
098: Willpower
Oct 20, 2017
097: Leveraging Data Science Techniques into E-Commerce & Other Fields
Oct 18, 2017
096: Bayes Theorem
Oct 13, 2017
095: From Uber to Data Science – A Winner’s Journey
Oct 11, 2017
094: The Power of Now
Oct 06, 2017
093: Why Evolutionary Programming Machine Learning is Important
Oct 04, 2017
092: Exponential Thinking
Sep 29, 2017
091: Lessons From a Successful Career in Data Visualization
Sep 27, 2017
090: Do What You Want
Sep 22, 2017
089: Using Excel in Data Science and Life-Long Learning
Sep 20, 2017
088: Fermi Questions
Sep 15, 2017
087: Business Intelligence – The Role of Data Visualization
Sep 13, 2017
086: Computer Vision
Sep 08, 2017
085: The AI Revolution – What the Future Will Look Like
Sep 06, 2017
084: Why I Became Vegetarian
Sep 01, 2017
083: Leveraging Your Experience into Data Science
Aug 30, 2017
082: Data Science Go
Aug 25, 2017
081: Data Visualization & How to Freelance Your Passion
Aug 23, 2017
080: Your Questions
Aug 19, 2017
079: Reinforcement Learning - What You Need to Know
Aug 16, 2017
078: Breaking Patterns
Aug 11, 2017
077: Finding the Right Data Science Company That Best Fits You
Aug 09, 2017
076: Do It For Yourself
Aug 04, 2017
075: How to Re-Focus Your Career & Become an Entry Level Data Scientist
Aug 02, 2017
074: The Five Balls of Life
Jul 28, 2017
073: How to Stand Out to Recruiters in Data Science
Jul 26, 2017
072: Connecting the Dots
Jul 21, 2017
071: Where the World is Headed to in the Field of Artificial Intelligence
Jul 20, 2017
070: The Quant Crunch
Jul 14, 2017
069: Steps on How To Become a Thought Leader in the Field of Data Science
Jul 12, 2017
068: Stimulate Your Creativity
Jul 07, 2017
067: Latest Developments in the Field of AI and How it is Changing the World
Jul 06, 2017
066: The Best Ideas
Jun 30, 2017
065: How Data Science Brings Value through Consulting Firms
Jun 28, 2017
064: My Best Tool
Jun 23, 2017
063: How to Keep up with Data Science Trends
Jun 21, 2017
062: Dreams vs. Goals
Jun 16, 2017
061: Discovering Data Science Workflows and The Importance of Mentorship
Jun 14, 2017
060: Maker's Schedule vs. Manager's Schedule
Jun 09, 2017
059: Changing Human Behaviour Through a Driving App
Jun 07, 2017
058: Conferences
Jun 02, 2017
057: Building Image Datasets and Their Importance in Machine Learning
May 31, 2017
056: Date With Destiny
May 26, 2017
055: Building and Managing a Successful Data Science Team
May 24, 2017
054: Selective Ignorance
May 19, 2017
053: Career Transitioning to Data Science: Important Lessons from an Aspiring Data Scientist
May 17, 2017
052: Getting Things Done
May 12, 2017
051: Understanding the Newest Big Data Technology Buzz Terms
May 10, 2017
050: Teamwork
May 05, 2017
049: Great Tips on Building a Successful Analytics Culture
May 03, 2017
048: Push Yourself
Apr 28, 2017
047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised
Apr 26, 2017
046: What is Reality?
Apr 21, 2017
045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok
Apr 19, 2017
044: Addicted to Data
Apr 15, 2017
043: Solving an Optimization Problem with a Custom Built Algorithm
Apr 12, 2017
042: Secret to Success
Apr 07, 2017
041: An Inspiring Journey from a Totally Different Background to Data Science
Apr 05, 2017
040: Get in Touch
Mar 31, 2017
039: Key Data Science and Statistical Skills to Get Hired at VSCO
Mar 29, 2017
038: How to Get a Job in Data Science
Mar 24, 2017
037: Develop your Dream Data Science Career with Experfy
Mar 22, 2017
036: Happiness and Problem Solving
Mar 17, 2017
035: Build Your Own Data Science Masters Degree with David Venturi
Mar 15, 2017
034: Failure
Mar 09, 2017
033: Building a Personal Brand in Data Science with Senior Insights Manager Josh Coulson
Mar 08, 2017
032: Get Out There!
Mar 03, 2017
031: AB Testing, Kissmetrics and Ways to a Better Lifestyle with David Tanaskovic
Mar 01, 2017
030: Compartmentalization
Feb 24, 2017
029: Dive Into Deep Learning and Find Out Where Machines Can Outperform Humans With Ben Taylor
Feb 23, 2017
028: Pride and Humility
Feb 16, 2017
027: Career Choice, Disruptions in Finance and Application Stacks with Aziz Mamatov
Feb 16, 2017
026: Sweat Every Day
Feb 09, 2017
025: Women in STEM, Bench Science to Data Science and Data and Medical Ethics w/ Kimberly Deas
Feb 08, 2017
024: "What are you passionate about?"
Feb 03, 2017
023: Data in Marketing, Statistical Significance and Management and Career Advice
Feb 01, 2017
022: Seoi Pei - The Skin of Water
Jan 27, 2017
021: Applications of Data Science, Democratizing AI and Advice with Sinan Ozdemir
Jan 25, 2017
020: Generation Z Insights, Data Privacy and SQL and Database Design with Ilya Eremenko
Jan 19, 2017
019: Government Work, Revisiting Left Brain/Right Brain and Artistic Thinking with Ot
Jan 12, 2017
018: 20 Years in Data Analytics, Entrepreneurship, and Megatrends in Data with Jen Underwood
Jan 05, 2017
017: Partitioning, Roles in Database Infrastructure and SQL Databases with Colin Sloss
Dec 30, 2016
016: Data-Driven Operations, Consulting Approaches, and Mentoring with Richard Hopkins
Dec 22, 2016
015: Side Income, Stoic Philosophy, and the Importance of QA with Paul Brown
Dec 17, 2016
014: Credit Scoring Models, the Law of Large Numbers, and Model Building with Greg Poppe
Dec 12, 2016
013: 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle
Dec 01, 2016
SDS Special : Giving Up Coffee, IQ vs EQ and Asking the Right Questions with Vitaly Dolgov
Nov 23, 2016
012: Online Learning, Tableau Insights and Ad Hoc Analytics with Megan Putney
Nov 22, 2016
011: Learning Resources, Thinking Like a Data Scientist and Data Exploration with Garth Zoller
Nov 17, 2016
010: Model Validation, Data Exhaust and Organisational Cultural Change with Yaw Tan
Nov 10, 2016
009: Neuroscience, Machine Learning and Moore’s Law with Muhsin Karim, Phd
Nov 03, 2016
008: Data Science in Computer Games, Learning to Learn and a 40M Euro Case Study with Ulf Morys
Oct 28, 2016
007: Advanced Analytics, Dynamic Simulations and Consulting World-wide with Artem Vladimirov
Oct 21, 2016
006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu
Oct 16, 2016
005: Computer Forensics, Fraud Analytics And Knowing When To Take A Break With Dmitry Korneev
Oct 09, 2016
004: Data and Strategy, Three Pillars of Research and Building your Career with Brendan Hogan
Oct 02, 2016
003: Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok
Sep 25, 2016
002: Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves
Sep 14, 2016
001: Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel
Sep 10, 2016