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Grokking Artificial Intelligence Algorithms - Paperback

noelincalif
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Item specifics

Condition
Good: A book that has been read, but is in good condition. Minimal damage to the book cover eg. ...
Brand
Unbranded
Book Title
Grokking Artificial Intelligence Algorithms
MPN
Does not apply
ISBN
9781617296185

About this product

Product Identifiers

Publisher
Manning Publications Co. LLC
ISBN-10
161729618X
ISBN-13
9781617296185
eBay Product ID (ePID)
20038392625

Product Key Features

Number of Pages
392 Pages
Publication Name
Grokking Artificial Intelligence Algorithms
Language
English
Subject
Programming / Algorithms, Intelligence (Ai) & Semantics, Neural Networks, General
Publication Year
2020
Type
Textbook
Author
Rishal Hurbans
Subject Area
Computers, Science
Format
Trade Paperback

Dimensions

Item Height
0.9 in
Item Weight
26.1 Oz
Item Length
9.2 in
Item Width
7.4 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2021-288429
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.31
Synopsis
Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, readers learn the concepts, terminology, and theory they need to effectively incorporate AI algorithms into their applications. Grokking Artificial Intelligence Algorithms uses simple language, jargon-busting explanations, and hand-drawn diagrams to open up complex algorithms. Don't worry if you aren't a calculus wunderkind; you'll need only the algebra you picked up in math class., AI is primed to revolutionize the way we build applications, offering exciting new ways to solve problems, uncover insights, innovate new products, and provide better user experiences. Successful AI is based on a set of core algorithms that form a base of knowledge shared by all data scientists. Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, readers learn the concepts, terminology, and theory they need to effectively incorporate AI algorithms into their applications. Grokking Artificial Intelligence Algorithms uses simple language, jargon-busting explanations, and hand-drawn diagrams to open up complex algorithms. Don't worry if you aren't a calculus wunderkind; you'll need only the algebra you picked up in math class. * Use cases for different AI algorithms * How to encode problems and solutions using data structures * Intelligent search for game playing * Ant colony algorithms for path finding * Evolutionary algorithms for optimization problems For software developers with high school-level algebra and calculus skills., "This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way." - David Jacobs, Product Advance Local Key Features Master the core algorithms of deep learning and AI Build an intuitive understanding of AI problems and solutions Written in simple language, with lots of illustrations and hands-on examples Creative coding exercises, including building a maze puzzle game and exploring drone optimization About The Book "Artificial intelligence" requires teaching a computer how to approach different types of problems in a systematic way. The core of AI is the algorithms that the system uses to do things like identifying objects in an image, interpreting the meaning of text, or looking for patterns in data to spot fraud and other anomalies. Mastering the core algorithms for search, image recognition, and other common tasks is essential to building good AI applications Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts.You'll explore coding challenges like detect­ing bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. All you need is the algebra you remember from high school math class and beginning programming skills. What You Will Learn Use cases for different AI algorithms Intelligent search for decision making Biologically inspired algorithms Machine learning and neural networks Reinforcement learning to build a better robot This Book Is Written For For software developers with high school-level math skills. About the Author Rishal Hurbans is a technologist, startup and AI group founder, and international speaker. Table of Contents 1 Intuition of artificial intelligence 2 Search fundamentals 3 Intelligent search 4 Evolutionary algorithms 5 Advanced evolutionary approaches 6 Swarm intelligence: Ants 7 Swarm intelligence: Particles 8 Machine learning 9 Artificial neural networks 10 Reinforcement learning with Q-learning
LC Classification Number
Q335.H87 2020

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noelincalif

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