Simplifying Algorithms with Vadim Smolyakov!Get Vadim's book 45% OFF with code hockeystick24 here: https://mng.bz/4J5QJoin Miko Pawlikowski on HockeyStick as he discusses machine learning algorithms with Vadim Smolyakov, author of 'Machine Learning Algorithms in Depth.' They explore Vadim's experiences at MIT CSAIL, his work at Microsoft, and key machine learning concepts like Bayesian nonparametrics, decision trees, and Markov chain Monte Carlo methods. Vadim also shares insights on his book, the challenges in implementing ML algorithms, and predictions about the future of AI. This episode is perfect for intermediate learners and those new to machine learning.0:00 Guest Introduction: Vadim Smolyakov00:48 MIT CSAIL Experience01:28 Bayesian Inference and Non-Parametrics02:30 Vadim's Work at Microsoft03:14 The Origin of Vadim's Book06:41 Target Audience for the Book08:04 Explaining Bayesian Algorithms15:57 Supervised vs Unsupervised Learning19:22 Decision Trees and Random Forests24:42 Challenges in Implementing ML Algorithms31:32 Top Machine Learning Algorithms45:27 Future of AI and ML50:31 Conclusion and Farewell

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