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Machine Learning Algorithms in Depth (MEAP V07) PDF

267 Pages·2023·48.556 MB·English
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by Vadim Smolyakov| 2023| 267 pages| 48.556| English

About Machine Learning Algorithms in Depth (MEAP V07)

Develop a mathematical intuition for how machine learning algorithms work so you can improve model performance and effectively troubleshoot complex ML problems.Machine Learning Algorithms in Depth 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.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.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Detailed Information

Author:Vadim Smolyakov
Publication Year:2023
ISBN:3675026
Pages:267
Language:English
File Size:48.556
Format:PDF
Price:FREE
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