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Thoughtful Machine Learning With Python : A Test-driven Approach, Paperback b...

Description: Thoughtful Machine Learning With Python : A Test-driven Approach, Paperback by Kirk, Matthew, ISBN 1491924136, ISBN-13 9781491924136, Like New Used, Free shipping in the US Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, th features tests with Python's Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you're a software engineer or business analyst interested in data science, this book will help you:Reference real-world examples to test each algorithm through engaging, hands-on exercisesApply test-driven development (TDD) to write and run tests before you start codingExplore techniques for improving your machine-learning models with data extraction and feature developmentWatch out for the risks of machine learning, such as underfitting or overfitting dataWork with K-Nearest Neighbors, neural networks, clustering, and other algorithms

Price: 33.96 USD

Location: Jessup, Maryland

End Time: 2024-11-05T02:36:23.000Z

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Thoughtful Machine Learning With Python : A Test-driven Approach, Paperback b...

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

Refund will be given as: Money Back

Book Title: Thoughtful Machine Learning With Python : A Test-driven Approach

Number of Pages: 216 Pages

Publication Name: Thoughtful Machine Learning with Python : a Test-Driven Approach

Language: English

Publisher: O'reilly Media, Incorporated

Publication Year: 2017

Item Height: 0.8 in

Subject: Data Processing, Databases / Data Mining, Programming Languages / Python

Item Weight: 14.2 Oz

Type: Textbook

Item Length: 9.2 in

Subject Area: Computers

Author: Matthew Kirk

Item Width: 7 in

Format: Trade Paperback

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