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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Inference and Learning from Data: Volume 1 - Foundations (Hardcover, New Ed)
Loot Price: R2,646
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Inference and Learning from Data: Volume 1 - Foundations (Hardcover, New Ed)
Expected to ship within 9 - 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 first volume,
Foundations, introduces core topics in inference and learning, such
as matrix theory, linear algebra, random variables, convex
optimization and stochastic optimization, and prepares students for
studying their practical application in later volumes. A consistent
structure and pedagogy is employed throughout this volume to
reinforce student understanding, with over 600 end-of-chapter
problems (including solutions for instructors), 100 figures, 180
solved examples, datasets and downloadable Matlab code. Supported
by sister volumes Inference and Learning, 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, statistical analysis, data science
and inference.
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