Vadim Smolyakov

Vadim Smolyakov is a data scientist in the Enterprise & Security DI research and development team at Microsoft. He is a former PhD student in AI at MIT CSAIL, with research interests in Bayesian inference and deep learning. Prior to joining Microsoft, Vadim developed machine learning solutions in the e-commerce space. In his current role, he is interested in developing AI products at scale and leading diverse teams.

books by Vadim Smolyakov

Machine Learning Algorithms in Depth
  • July 2024
  • ISBN 9781633439214
  • 328 pages
Included with a Manning Online subscription
  • printed in black & white

Machine Learning Algorithms in Depth dissects and explains dozens of algorithms across a variety of applications, including finance, computer vision, and NLP. Each algorithm is mathematically derived, followed by its hands-on Python implementation along with insightful code annotations and informative graphics. You’ll especially appreciate author Vadim Smolyakov’s clear interpretations of Bayesian algorithms for Monte Carlo and Markov models.