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Machine Learning Pocket Reference

Autor Matt Harrison
en Limba Engleză Paperback – 9 sep 2019
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. -- Provided by publisher.
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Specificații

ISBN-13: 9781492047544
ISBN-10: 1492047546
Pagini: 200
Dimensiuni: 62 x 177 x 16 mm
Greutate: 0.24 kg
Editura: O'Reilly

Notă biografică

Matt runs MetaSnake, a Python and Data Science training and consulting company. He has over 15 years of experience using Python across a breadth of domains: Data Science, BI, Storage, Testing and Automation, Open Source Stack Management, and Search.

Descriere

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.