Thoughtful machine learning : a test-driven approach

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With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. The following ISBNs are associated with this title:. ISBN - On the Content tab, click to select the Enable JavaScript check box. Click OK to close the Options popup. Refresh your browser page to run scripts and reload content.

Thoughtful Machine Learning

Click the Internet Zone. If you do not have to customize your Internet security settings, click Default Level. Then go to step 5. 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:.

[PDF] Thoughtful Machine Learning - A Test-Driven Approach - Semantic Scholar

Matthew Kirk has always been "the math guy" to those that know him best. He started his career as a quantitative financial analyst with Parametric Portfolio. While there, he studied momentum and reversal effects in Emerging Markets and optimized their 30 billion dollarportfolio.