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Practical Machine Learning

A Beginner's Guide to Data Mining with WEKA

Andrew H. Johnston (Autor)

Buch | Softcover

1 Seiten

2018
No Starch Press,US (Verlag)
9781593278762 (ISBN)

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An accessible guide to machine learning principles for programmers. Features hands-on example projects, real-world case studies, and easy-to-understand explanations.

Practical Machine Learning is a clear, hands-on introduction to machine learning written for programmers - no extensive background in math required. You'll learn the fundamentals of machine learning and how to use WEKA, a suite of free, open-source tools to build and test 'smart' algorithms and incorporate them into your code. An accessible introduction to this rapidly growing industry, perfect for any programmer looking to apply its principles to their work.

Andrew H. Johnston is an experienced consultant and lead researcher in the machine learning and artificial intelligence domain. He has run a research lab dedicated to using machine learning techniques to solve problems in mobile health, activity recognition, and biometrics, and frequently presents his work at major conferences. Author Residence- New York City, NY Author Hometown- Rye, NY

Erscheint lt. Verlag	15.8.2018
Verlagsort	San Francisco
Sprache	englisch
Maße	1 x 1 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Informatik ► Web / Internet
ISBN-13	9781593278762 / 9781593278762
Zustand	Neuware