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Dec 22, 2023
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Episode | Date |
---|---|
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 |