SC - 1322 | Thoughtful Machine Learning with Python: A Test-Driven Approach

Matthew Kirk

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

Categories: Computers\\Cybernetics
Year: 2017
Edition: 1
Publisher: O’Reilly Media
Language: english
Pages: 216
ISBN 10: 1491924136
ISBN 13: 9781491924136

ID:  SC - 1322