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Machine Learning Pocket Reference: Working with Structured Data in Python

Regular price ₱539.55
Unit price
per

Essential, concise machine learning Python guide.

If Python and machine learning are on your radar, then this pocket reference is your perfect companion. The book cuts through the complexity of structured data and machine learning processes, making it excellent for programmers and data scientists who appreciate practical examples and straightforward explanations. Whether you're in training or embarking on a new project, you'll find Matt Harrison's guide both a reliable resource and a time-saver.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
New

Machine Learning Pocket Reference: Working with Structured Data in Python

Regular price ₱539.55
Unit price
per
ISBN: 9781492047544
Authors: Matt Harrison
Publisher: O'Reilly Media
Date of Publication: 2019-10-08
Format: Paperback
Related Collections: Personal Development, Science
Related Topics: Computers, Mathematics
Goodreads rating: 4.04
(rated by 49 readers)

Description

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.
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Similar Reads

Essential, concise machine learning Python guide.

If Python and machine learning are on your radar, then this pocket reference is your perfect companion. The book cuts through the complexity of structured data and machine learning processes, making it excellent for programmers and data scientists who appreciate practical examples and straightforward explanations. Whether you're in training or embarking on a new project, you'll find Matt Harrison's guide both a reliable resource and a time-saver.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.