Artificial Intelligence

Understanding Machine Learning; From Theory to Algorithms

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Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and nonexpert readers in statistics, computer science, mathematics, and engineering.
Shai Shalev-Shwartz is an Associate Professor at the School of Computer Science and Engineering at The Hebrew University, Israel, and Shai Ben-David is a Professor in the School of Computer Science at the University of Waterloo, Canada.

Data Sources:
https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/
https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html
https://www.cambridge.org/il/universitypress/subjects/computer-science/pattern-recognition-and-machine-learning/understanding-machine-learning-theory-algorithms

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Informasi Detail

Judul Seri

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No. Panggil

006.31 SHW u

Penerbit

New York, USA : Cambridge University Press., 2014

Deskripsi Fisik

xvii + 449 halaman

Bahasa

English

ISBN/ISSN

978-1-107-05713-5

Klasifikasi

006.31

Tipe Isi

Text dan Gambar

Edisi/Cetakan

Edisi/Cetakan 2014

Subjek

eBook
Artificial Intelligence
Machine Learning

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