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 experimenting with a variety of neural network models for computer vision and natural language processing.