Machine Learning Algorithms in Depth av Vadim Smolyakov

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<B>Develop a mathematical intuition for how machine learning algorithms work so you can improve model performance and effectively troubleshoot complex ML problems.</B><BR><BR><I>Machine Learning Algorithms in Depth</I> dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you’ll learn the fundamentals of Bayesian inference and deep learning.  <BR><BR>For each category of algorithm, you’ll go from math-first principles to a hands-on implementation in Python, exploring dozens of examples from across all the fields of machine learning. Each example is accompanied by worked-out derivations and details, as well as insightful code samples and graphics.<BR><BR>Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.