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Books > Computing & IT > Applications of computing > Pattern recognition

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Foundations of Data Science (Hardcover) Loot Price: R1,398
Discovery Miles 13 980
You Save: R104 (7%)
Foundations of Data Science (Hardcover): Avrim Blum, John Hopcroft, Ravindran Kannan

Foundations of Data Science (Hardcover)

Avrim Blum, John Hopcroft, Ravindran Kannan

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Was R1,502 Loot Price R1,398 Discovery Miles 13 980 | Repayment Terms: R131 pm x 12* You Save R104 (7%)

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This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: 2020
Authors: Avrim Blum • John Hopcroft • Ravindran Kannan
Dimensions: 259 x 182 x 27mm (L x W x T)
Format: Hardcover
Pages: 432
ISBN-13: 978-1-108-48506-7
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
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LSN: 1-108-48506-5
Barcode: 9781108485067

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