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portada Inference and Learning from Data: Volume 3: Learning
Type
Physical Book
Author
Publisher
Language
English
Pages
990
Format
Hardcover
Dimensions
23.8 x 16.6 x 2.8 cm
Weight
1.75 kg.
ISBN13
9781009218283
Categories

Inference and Learning from Data: Volume 3: Learning

Ali H. Sayed (Author) · Cambridge University Press · Hardcover

Inference and Learning from Data: Volume 3: Learning - Sayed, Ali H.

New Book Imported to New Zealand
Delivery: 24 Jul - 30 Jul Shipping: 2 to 2 business days.
NZ$ 260.26
Import costs and 15% GST included in the price ✅
NZ$ 260.26

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Synopsis "Inference and Learning from Data: Volume 3: Learning"

This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This final volume, Learning, builds on the foundational topics established in volume I to provide a thorough introduction to learning methods, addressing techniques such as least-squares methods, regularization, online learning, kernel methods, feedforward and recurrent neural networks, meta-learning, and adversarial attacks. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including complete solutions for instructors), 280 figures, 100 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Inference, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, data and inference.

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