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Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI

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US $62.15
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Located in: Sparks, Nevada, United States
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Last updated on 10 Jun, 2024 12:59:58 BSTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Essential Math for AI: Next-Level Mathematics for Efficient and S
Publication Date
2023-01-17
ISBN
9781098107635
Subject Area
Mathematics, Computers
Publication Name
Essential Math for Ai : Next-Level Mathematics for Efficient and Successful Ai Systems
Publisher
O'reilly Media, Incorporated
Item Length
9.2 in
Subject
Intelligence (Ai) & Semantics, General, Data Processing
Publication Year
2023
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
1.2 in
Author
Hala Nelson
Item Weight
37.2 Oz
Item Width
7 in
Number of Pages
602 Pages

About this product

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1098107632
ISBN-13
9781098107635
eBay Product ID (ePID)
24057246676

Product Key Features

Number of Pages
602 Pages
Language
English
Publication Name
Essential Math for Ai : Next-Level Mathematics for Efficient and Successful Ai Systems
Publication Year
2023
Subject
Intelligence (Ai) & Semantics, General, Data Processing
Type
Textbook
Author
Hala Nelson
Subject Area
Mathematics, Computers
Format
Trade Paperback

Dimensions

Item Height
1.2 in
Item Weight
37.2 Oz
Item Length
9.2 in
Item Width
7 in

Additional Product Features

LCCN
2023-278308
Dewey Edition
23
CLASSIFICATION_METADATA
{"IsNonfiction":["No"],"IsOther":["Yes"],"IsAdult":["No"],"MuzeFormatDesc":["Trade Paperback"],"IsChildren":["No"],"Genre":["MATHEMATICS","COMPUTERS"],"Topic":["General","Data Processing","Intelligence (AI) & Semantics"],"IsTextBook":["No"],"IsFiction":["No"]}
Illustrated
Yes
Dewey Decimal
006.30151
Synopsis
Companies 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 Number
QA155.7.E4
ebay_catalog_id
4

Item description from the seller

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Alibris, Inc.
Rob Lambert
2560 9th St
Ste 215
94710-2565 Berkeley, CA
United States
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:liamEmoc.sirbila@90_skoob_flah
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