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Books > Computing & IT > Applications of computing > Signal processing
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Inference and Learning from Data
Loot Price: R6,509
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Inference and Learning from Data
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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. The first volume,
Foundations, establishes core topics in inference and learning, and
prepares readers for studying their practical application. The
second volume, Inference, introduces readers to cutting-edge
techniques for inferring unknown variables and quantities. The
final volume, Learning, provides a rigorous introduction to
state-of-the-art learning methods. A consistent structure and
pedagogy is employed throughout all three volumes to reinforce
student understanding, with over 1280 end-of-chapter problems
(including solutions for instructors), over 600 figures, over 470
solved examples, datasets and downloadable Matlab code. 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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