Thoughtful Machine Learning with Python: A Test-Driven Approach

Kirk, Matthew

ISBN 10: 1491924136 ISBN 13: 9781491924136

Editorial: O'Reilly Media, 2017

Idioma: Ingl�s

Condici�n: Usado - Bueno Encuadernaci�n de tapa blanda

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Detalles bibliogr�ficos

T�tulo

Thoughtful Machine Learning with Python: A Test-Driven Approach

Editor

O'Reilly Media

Fecha de publicaci�n

2017

Idioma

Ingl�s

ISBN 10

1491924136

ISBN 13

9781491924136

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

Very Good

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Sinopsis

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, the book 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 exercises
Apply test-driven development (TDD) to write and run tests before you start coding
Explore techniques for improving your machine-learning models with data extraction and feature development
Watch out for the risks of machine learning, such as underfitting or overfitting data
Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms

Acerca del autor

Matthew Kirk holds a B.S. in Economics and a B.S. in Applied and Computational Mathematical Sciences with a concentration in Quantitative Economics from the University of Washington. He is also studying for his M.S. in Computer Science at the Georgia Institute of Technology. He started Modulus 7, a data science and Ruby development consulting firm, in early 2012. Matthew has spoken around the world about using machine learning and data science with Ruby

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