This is a practical tutorial that aims to provide you with the expertise needed to master machine learning techniques with scikit-learn. The features of scikit-learn are explained with real-world examples, enabling you to apply these techniques to your own problems.
If you are a software developer who wants to learn how machine learning models work and how to apply them effectively, this book is for you. Familiarity with machine learning fundamentals and Python will be helpful, but is not essential.
"synopsis" may belong to another edition of this title.
Gavin Hackeling develops machine learning services for large-scale documents and image classification at an advertising network in New York. He received his Master's degree from New York University's Interactive Telecommunications Program, and his Bachelor's degree from the University of North Carolina.
"About this title" may belong to another edition of this title.
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