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 & videos by Vadim Smolyakov

Machine Learning Algorithms in Depth Video Edition
Included with a Manning Online subscription

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.

Machine Learning Algorithms in Depth
  • July 2024
  • ISBN 9781633439214
  • 328 pages
Included with a Manning Online subscription
  • printed in black & white
  • available in Korean, Russian, Simplified Chinese
catalog / Data Science / Machine Learning / Machine Learning Algorithms

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.