Super Data Science: ML & AI Podcast with Jon Krohn
Un pódcast de Jon Krohn
877 Episodo
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836: How to Become Happier, with Dr. Nat Ware
Publicado: 15/11/2024 -
835: AI Systems as Productivity Engines, with You.com’s Bryan McCann
Publicado: 12/11/2024 -
834: In Case You Missed It in October 2024
Publicado: 8/11/2024 -
833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson
Publicado: 5/11/2024 -
832: The Anthropic CEO’s Techno-Utopia
Publicado: 1/11/2024 -
831: PyTorch Lightning, Lit-Serve and Lightning Studios, with Dr. Luca Antiga
Publicado: 29/10/2024 -
830: The “A.I.” Nobel Prizes (in Physics and Chemistry??)
Publicado: 25/10/2024 -
829: Neuroscience Fueled by ML, with Prof. Bradley Voytek
Publicado: 22/10/2024 -
828: Are “Citizen Data Scientists” A Myth? With Keith McCormick
Publicado: 18/10/2024 -
827: Polars: Past, Present and Future, with Polars Creator Ritchie Vink
Publicado: 15/10/2024 -
826: In Case You Missed It in September 2024
Publicado: 11/10/2024 -
825: Data Contracts: The Key to Data Quality, with Chad Sanderson
Publicado: 8/10/2024 -
824: Llama 3.2: Open-Source Edge and Multimodal LLMs
Publicado: 4/10/2024 -
823: Virtual Humans and AI Clones, with Natalie Monbiot
Publicado: 1/10/2024 -
822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents
Publicado: 27/9/2024 -
821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman
Publicado: 24/9/2024 -
820: OpenAI's o1 "Strawberry" Models
Publicado: 20/9/2024 -
819: PyTorch: From Zero to Hero, with Luka Anicin
Publicado: 17/9/2024 -
818: In Case You Missed It in August 2024
Publicado: 13/9/2024 -
817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge
Publicado: 10/9/2024
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.
