Inference and Learning from Data: Volume 3

Released on by Ali H. Sayed
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  • Inference and Learning from Data: Volume 3 Book Detail

  • Author : Ali H. Sayed
  • Release Date : 2022-12-22
  • Publisher : Cambridge University Press
  • Genre : Technology & Engineering
  • Pages : 1082
  • ISBN 13 : 1009218301
  • File Size : 45,45 MB
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Inference and Learning from Data: Volume 3 by Ali H. Sayed PDF Summary

Book Description: 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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Inference and Learning from Data: Volume 3

Inference and Learning from Data: Volume 3

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This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introdu

Inference and Learning from Data: Volume 1

Inference and Learning from Data: Volume 1

File Size : 15,15 MB
Total View : 3629 Views
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This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introdu

Inference and Learning from Data

Inference and Learning from Data

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Discover techniques for inferring unknown variables and quantities with the second volume of this extraordinary three-volume set.

Targeted Learning

Targeted Learning

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The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hun