Super Data Science: ML & AI Podcast with Jon Krohn
By Jon Krohn
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Subscribers: 630
Reviews: 1
Episodes: 830
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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 |
|---|---|
|
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 |
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238: Data Science in Banking
|
Feb 22, 2019 |
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237: Data Privacy, GDPR, and You
|
Feb 21, 2019 |
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236: How to Deal with Negative Emotions
|
Feb 15, 2019 |
|
235: Living the Dream With Data Science
|
Feb 14, 2019 |
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234: Data Science in Education
|
Feb 08, 2019 |
|
233: High Octane Data Science Leadership at Red Bull
|
Feb 07, 2019 |
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232: Sleep on it
|
Feb 01, 2019 |
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231: Data Visualizers: The Storytellers of Data Science
|
Jan 31, 2019 |
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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 |
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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 |
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SDS 209: Full-Time Data Scientist after just 1 year in the field
|
Nov 15, 2018 |
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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 |