Python Machine Learning By Example - Second Edition

About the reviewer

Vadim Smolyakov is currently pursuing his PhD at MIT in the areas of computer science and artificial intelligence. His primary research interests include Bayesian inference, deep learning, and optimization. Prior to coming to MIT, Vadim received his undergraduate degree in engineering science at the University of Toronto. He previously worked as a data scientist in the e-commerce space. Vadim is passionate about machine learning and data science, and is interested in making the field accessible to a broad audience and inspiring readers to innovate and pursue research in artificial intelligence.