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Grokking Artificial Intelligence Algorithms: Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples - Softcover

Hurbans, Rishal

 
9781617296185: Grokking Artificial Intelligence Algorithms: Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples
Softcover
ISBN 10: 161729618X ISBN 13: 9781617296185
Verlag: MANNING PUBN, 2020

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Rishal Hurbans is a solutions architect for one of the largest technology companies in South Africa, the founder of the Artificial Intelligence South Africa group, and an Intel Innovator in the AI space.

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Verlag
MANNING PUBN
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
161729618X
ISBN 13 
9781617296185
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
400
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