Advances in Machine Learning
Michael discusses the massive advances in machine learning since the publication of their book, highlighting the importance of complexity theory and the strong dialogue between theoreticians and practitioners in the field. He emphasizes the value of testing ideas on data and the continual pursuit of better performance on large scale datasets.In this clip
From this podcast
Data Skeptic
The Computational Complexity of Machine Learning
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