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.
AI Reading Assistant
Whole-book reading guide from stratified index samples; jump to passages in the text
Tags
Text Preview (First 20 pages)
Registered users can read the full content for free
Register as a Gaohf Library member to read the complete e-book online for free and enjoy a better reading experience.
Generating text preview…
Loading comments...
Reply to Comment
Edit Comment