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Grokking Artificial Intelligence Algorithms by Rishal Hurbans

• Grokking Artificial Intelligence Algorithms
• Rishal Hurbans
• Page: 392
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781617296185
• Publisher: Manning Publications Company

Grokking Artificial Intelligence Algorithms

Online ebooks free download Grokking Artificial Intelligence Algorithms by Rishal Hurbans 9781617296185 in English

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, you’ll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. Summary 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, you’ll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you’ll use each algorithm in practice with creative coding exercises—including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Artificial intelligence touches every part of our lives. It powers our shopping and TV recommendations; it informs our medical diagnoses. Embracing this new world means mastering the core algorithms at the heart of AI. About the book Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. All you need is the algebra you remember from high school math class. Explore coding challenges like detect­ing bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. What's inside 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 About the reader For software developers with high school–level algebra and calculus 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

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The official code repository supporting the book, Grokking Artificial Intelligence Algorithms - rishal-hurbans/Grokking-Artificial-Intelligence-Algorithms. 8 Machine learning · Grokking Artificial Intelligence Algorithms
Solving problems with machine learning algorithms · Grasping a machine learning life cycle, preparing data, and selecting algorithms · Understanding and  Grokking Artificial Intelligence Algorithms - Maglazana
Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. All you  Grokking Deep Reinforcement Learning - Manning
It explains in technical but clear language what machine learning is, what deep You'll see how algorithms Grokking Artificial Intelligence Algorithms | Book by Rishal
Grokking Artificial Intelligence Algorithms by Rishal Hurbans - ”This book takes an impossibly broad area of computer science and communicates what working 5 Advanced evolutionary approaches - Grokking - O'Reilly
cycle Adjusting a genetic algorithm to solve varying problems The advanced parameters … - Selection from Grokking Artificial Intelligence Algorithms [Book] 3 Intelligent search - Grokking Artificial Intelligence Algorithms
Another example is writing algorithms to solve a GPS routing problem. The heuristic may be “Good paths minimize time in traffic and minimize distance traveled” or 

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