Machine Learning For Dummies

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Bol An accessible guide to machine learning Machine learning is the process that drives the world’s most powerful artificial intelligence systems. This book walks you through exactly how this exciting discipline actually works. You’ll learn all about the tools, code, and math behind machine learning. You’ll also find step-by-step instructions for testing it out on your own and an easy-to-follow introduction to building smart algorithms. This is your guide to understanding how to build predictive models, detect anomalies, analyze text and images, and more. Inside … Understand the basics Learn machine learning code Demystify the math Build real-world algorithms Explore examples and apps Work with large datasets Access effective tools Test out your creations The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning—the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you'll dive into the tools, code, and math that make machine learning go—and you'll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can't do Learn the basics of machine learning code and how it integrates with large datasets Understand the mathematical principles that AI uses to make itself smarter Consider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.

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An accessible guide to machine learning Machine learning is the process that drives the world’s most powerful artificial intelligence systems. This book walks you through exactly how this exciting discipline actually works. You’ll learn all about the tools, code, and math behind machine learning. You’ll also find step-by-step instructions for testing it out on your own and an easy-to-follow introduction to building smart algorithms. This is your guide to understanding how to build predictive models, detect anomalies, analyze text and images, and more. Inside … Understand the basics Learn machine learning code Demystify the math Build real-world algorithms Explore examples and apps Work with large datasets Access effective tools Test out your creations The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning—the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you'll dive into the tools, code, and math that make machine learning go—and you'll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can't do Learn the basics of machine learning code and how it integrates with large datasets Understand the mathematical principles that AI uses to make itself smarter Consider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.

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Pages: 448, Edition: 3 stuks, Paperback, For Dummies


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Merk For Dummies
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  • 9781394373222
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