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. Ideal for software engineers and business analysts interested in data science.
Description:
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. Ideal for software engineers and business analysts interested in data science.