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Machine Learning in Python: Essential Techniques for Predictive

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Slight Creasing To Spine and Wear To Edges Of Pages
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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
“Slight Creasing To Spine and Wear To Edges Of Pages”
Book Title
Machine Learning in Python: Essential Techniques for Predictive
ISBN
9781118961742
Publication Year
2015
Type
Textbook
Format
Paperback
Language
English
Publication Name
Machine Learning in Python: Essential Techniques for Predictive Analysis
Item Height
234mm
Author
Michael Bowles
Publisher
John Wiley & Sons Inc
Item Width
187mm
Subject
Computer Science
Item Weight
616g
Number of Pages
360 Pages

About this product

Product Information

Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics.

Product Identifiers

Publisher
John Wiley & Sons Inc
ISBN-13
9781118961742
eBay Product ID (ePID)
209380517

Product Key Features

Author
Michael Bowles
Publication Name
Machine Learning in Python: Essential Techniques for Predictive Analysis
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2015
Type
Textbook
Number of Pages
360 Pages

Dimensions

Item Height
234mm
Item Width
187mm
Item Weight
616g

Additional Product Features

Title_Author
Michael Bowles
Country/Region of Manufacture
United States

Item description from the seller

Business seller information

Value Added Tax Number:
  • GB 724498118
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