790: Open-Source Libraries for Data Science at the New York R Conference
789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski
788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks
787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann
786: The Six Keys to Data Scientists' Success, with Kirill Eremenko
785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano
784: Aligning Large Language Models, with Sinan Ozdemir
783: Generative A.I. for Solar Power Installation, with Navdeep Martin
782: In Case You Missed It in April 2024
781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi
780: How to Become a Data Scientist, with Dr. Adam Ross Nelson
779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham
778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute
777: Generative AI in Practice, with Bernard Marr
776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime
775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić
774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities
773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas
772: In Case You Missed It in March 2024
771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko
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