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Essential Math for AI : Next-Level Mathematics for Efficient and Successful AI Systems by Hala Nelson (2023, Trade Paperback)
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About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101098107632
ISBN-139781098107635
eBay Product ID (ePID)24057246676
Product Key Features
Number of Pages602 Pages
LanguageEnglish
Publication NameEssential Math for Ai : Next-Level Mathematics for Efficient and Successful Ai Systems
Publication Year2023
SubjectMathematical & Statistical Software, General, Data Processing
TypeTextbook
Subject AreaMathematics, Computers
AuthorHala Nelson
FormatTrade Paperback
Dimensions
Item Height1.2 in
Item Weight35.9 Oz
Item Length9 in
Item Width7.1 in
Additional Product Features
LCCN2023-278308
Dewey Edition23
IllustratedYes
Dewey Decimal006.30151
SynopsisCompanies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more Learn how to adapt mathematical methods to different applications from completely different fields Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions
LC Classification NumberQA155.7.E4
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