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Covers core machine learning concepts for a solid foundation
Focuses on modern applications in self-driving cars, decision making, networks, security, and signal processing for practical relevance
Introduces and explains Python-based evaluation tools for hands-on learning
Explores generative networks, particularly GANs, to enhance algorithm performance
Provides clear, non-mathematical explanations to ensure accessibility
Summarized by Shop
The book reviews core concepts of machine learning (ML) while focusing on modern applications. It is aimed at those who want to advance their understanding of ML by providing technical and practical insights. It provides an introduction and main elements of evaluation tools with Python and walks you through the recent applications of ML i
Format
Paperback, Hardcover
Page Count
202
Publisher
Taylor Francis Ltd
Language
English
Dimensions
155 x 233 x 21 mm (Paperback), 235 x 159 x 19 mm (Hardcover)