January 2025
Intermediate to advanced
328 pages
8h 28m
English
Content preview from Machine Learning Algorithms in Depth
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preface
Welcome to Machine Learning Algorithms in Depth! The idea of writing this book came to me during my graduate school years. At the time, I was switching majors from wireless communications to machine learning and found that one constant during this transition was my fascination with algorithms. I wanted to study this subject in depth and really understand how to derive, implement, and analyze algorithms from the first principles. I was fortunate to have found a research home in the Sensing, Learning, and Inference group at MIT CSAIL, where I was exposed to a wide variety of machine learning applications centered on Bayesian inference. At the same time, the field of deep learning was rapidly evolving, and I found myself training and ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.