| Machine Learning in Python (Wiley) |
| Tuesday, 05 May 2015 | |||
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With the subtitle "Essential Techniques for Predictive Analysis", Michael Bowles shows you how to 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. <ASIN:1118961749> Author: Michael Bowles Visit Book Watch Archive for hundreds more titles. Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews. To have new titles included in Book Watch contact BookWatch@i-programmer.info 
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