Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
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.
Categories: Technology
Listen to the last episode:
Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare. This episode is brought to you by the DataConnect Conference (https://www.dataconnectconf.com/dccwest/conference), and by Data Universe, the out-of-this-world data conference (https://datauniverse2024.com). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • The inspiration for Zack to get started in ML and healthcare [03:56] • The hardware required to use Abridge [12:29] • The key data science projects at Abridge right now [35:05] • Abridge's tech stack [59:54] • How Abridge ensures reliability in a high-stakes setting like healthcare [1:07:29] • How Zack’s academic research cross-pollinates with his commercial ML projects [1:21:05] • How Zack’s jazz background molded his entrepreneur and data science journey [1:30:32] Additional materials: www.superdatascience.com/769
Previous episodes
-
1003 - 769: Generative AI for Medicine, with Prof. Zack Lipton Tue, 26 Mar 2024
-
1002 - 768: Is Claude 3 Better than GPT-4? Fri, 22 Mar 2024
-
1001 - 767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka Tue, 19 Mar 2024
-
1000 - 766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution Fri, 15 Mar 2024
-
999 - 765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant Tue, 12 Mar 2024
-
998 - 764: The Top 10 Episodes of 2023 Fri, 08 Mar 2024
-
997 - 763: The Best A.I. Startup Opportunities, with venture capitalist Rudina Seseri Tue, 05 Mar 2024
-
996 - 762: Gemini 1.5 Pro, the Million-Token-Context LLM Fri, 01 Mar 2024
-
995 - 761: Gemini Ultra: How to Release an A.I. Product for Billions of Users, with Google's Lisa Cohen Tue, 27 Feb 2024
-
994 - 760: Humans Love A.I.-Crafted Beer Fri, 23 Feb 2024
-
993 - 759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko Tue, 20 Feb 2024
-
992 - 758: The Mamba Architecture: Superior to Transformers in LLMs Fri, 16 Feb 2024
-
991 - 757: How to Speak so You Blow Listeners' Minds, with Cole Nussbaumer Knaflic Tue, 13 Feb 2024
-
990 - 756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds Fri, 09 Feb 2024
-
989 - 755: Brewing Beer with A.I., with Beau Warren Tue, 06 Feb 2024
-
988 - 754: A Code-Specialized LLM Will Realize AGI, with Jason Warner Fri, 02 Feb 2024
-
987 - 753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson Tue, 30 Jan 2024
-
986 - 752: AI is Disadvantaging Job Applicants, But You Can Fight Back Fri, 26 Jan 2024
-
985 - 751: How to Found and Fund Your Own A.I. Startup, with Dr. Rasmus Rothe Tue, 23 Jan 2024
-
984 - 750: How A.I. is Transforming Science Fri, 19 Jan 2024
-
983 - 749: Data Science for Clean Energy, with Emily Pastewka Tue, 16 Jan 2024
-
982 - 748: The Five Levels of AGI Fri, 12 Jan 2024
-
981 - 747: Technical Intro to Transformers and LLMs, with Kirill Eremenko Tue, 09 Jan 2024
-
980 - 746: A Continuous Calendar for 2024 Fri, 05 Jan 2024
-
979 - 745: 2024 Data Science Trend Predictions Tue, 02 Jan 2024
-
978 - 744: To a Peaceful 2024 Fri, 29 Dec 2023
-
977 - 743: How to Integrate Generative A.I. Into Your Business, with Piotr Grudzień Tue, 26 Dec 2023
-
976 - 742: Happy Holidays from All of Us Fri, 22 Dec 2023
-
975 - 741: How to Visualize Data Effectively, with Prof. Alberto Cairo Tue, 19 Dec 2023
-
974 - 740: Q*: OpenAI's Rumored AGI Breakthrough Fri, 15 Dec 2023
-
973 - 739: AI is Eating Biology and Chemistry, with Dr. Ingmar Schuster Tue, 12 Dec 2023
-
972 - 738: Engineering Biomaterials with Generative AI, with Dr. Pierre Salvy Fri, 08 Dec 2023
-
971 - 737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux Tue, 05 Dec 2023
-
970 - 736: How to Officially Certify your AI Model, with Jan Zawadzki Fri, 01 Dec 2023
-
969 - 735: A.I. Product Management, with Google DeepMind's Head of Product, Mehdi Ghissassi Tue, 28 Nov 2023
-
968 - 734: Humanoid Robot Soccer, with the Dutch RoboCup Team Fri, 24 Nov 2023
-
967 - 733: OpenAssistant: The Open-Source ChatGPT Alternative, with Dr. Yannic Kilcher Tue, 21 Nov 2023
-
966 - 732: Data Science for Astronomy, with Dr. Daniela Huppenkothen Fri, 17 Nov 2023
-
965 - 731: A.I. Agents Will Develop Their Own Distinct Culture, with Nell Watson Tue, 14 Nov 2023
-
964 - 730: How GitHub Operationalizes AI for Teamwide Collaboration and Productivity Fri, 10 Nov 2023
-
963 - 729: Universal Principles of Intelligence (Across Humans and Machines), with Prof. Blake Richards Tue, 07 Nov 2023
-
962 - 728: Use Contrastive Search to get Human-Quality LLM Outputs Fri, 03 Nov 2023
-
961 - 727: Unmasking A.I. Injustice, with Dr. Joy Buolamwini Tue, 31 Oct 2023
-
960 - 726: Seven Factors for Successful Data Leadership Fri, 27 Oct 2023
-
959 - 725: Neuroscience + Machine Learning, with Google DeepMind's Dr. Kim Stachenfeld Tue, 24 Oct 2023
-
958 - 724: Decoding Speech from Raw Brain Activity, with Dr. David Moses Fri, 20 Oct 2023
-
957 - 723: Mathematical Optimization, with Jerry Yurchisin Tue, 17 Oct 2023
-
956 - 722: AI Emits Far Less Carbon Than Humans (Doing the Same Task) Fri, 13 Oct 2023
-
955 - 721: Quantum Machine Learning, with Dr. Amira Abbas Tue, 10 Oct 2023
-
954 - 720: OpenAI’s DALL-E 3, Image Chat and Web Search Fri, 06 Oct 2023