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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Inference and Learning from Data: Volume 3 - Learning (Hardcover, New Ed)
Loot Price: R2,265
Discovery Miles 22 650
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Inference and Learning from Data: Volume 3 - Learning (Hardcover, New Ed)
Expected to ship within 12 - 17 working days
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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 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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