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Ethem Alpaydin
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Binding
Hardback
Number of Pages
712
Age Group
All
Language
English
Book Summary
This is a comprehensive, universityโlevel textbook on machine learning designed for advanced undergraduates, graduate students, and professionals. It explains how computers learn from data and provides a rigorous blend of theory and practice, spanning traditional methods and cuttingโedge developments in deep learning and neural networks. The tone is clear and authoritative, crafted to help readers build a solid foundation while gaining practical skills they can apply to real problems.
In its substantially revised fourth edition, the book introduces fresh coverage of recent advances in deep learning and neural networks. Youโll find new material on training, regularization, and structuring networks such as convolutional architectures and generative adversarial networks; expanded discussion of reinforcement learning with deep networks and policy gradients; and explorations of word embeddings, autoencoders, and dimensionality reduction techniques like tโSNE. Appendices provide background in linear algebra and optimization to support independent study and quick references.
The content is organized to support both coursework and professional use, with a broad array of topics not always found in introductory texts. Readers will encounter supervised learning, Bayesian decision theory, parametric and nonparametric methods, multivariate analysis, hidden Markov models, kernel machines, graphical models, Bayesian estimation, and statistical testing. Endโofโchapter exercises reinforce concepts and encourage handsโon practice, while the integrated explanations help bridge theory and realโworld data science challenges.
After finishing, readers gain a robust toolkit for analyzing data, selecting appropriate models, and applying modern machine learning techniques to complex problems. The material builds confidence in critical thinking about algorithms, fosters curiosity about new approaches, and leaves a lasting impression of both rigor and applicability in the field.
Product Details
Author
Ethem Alpaydin
Publisher
Penguin Random House
Number of Pages
712
Language
English
SKU
9780262043793
ISBN
9780262043793
Reading Age
All
Dimensions
21.1x3.7x23.8cm
Binding
Hardback
โน 7,500