Buch, Englisch, 464 Seiten
Buch, Englisch, 464 Seiten
ISBN: 978-1-394-37322-2
Verlag: Wiley
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.
