Building Machine Learning Systems with Python

by Luis Pedro Coelho

Building Machine Learning Systems with PythonWe use a machine learning method to classify the subject category of Wikipedia, the sensibility classification of Twitter, the movie recommendation, the category classification of the photograph, and the music genre classification of MP3 that the reader, rather than the general CSV data, actually want to do. In addition, we will build a machine learning environment that processes large amounts of data quickly in the big data era. You can get a deeper understanding of the Python language by using various libraries such as NumPy, SciPy, and scikit-learn, which are the core of the Python and Python ecosystem. Unlike the first edition, the revised version was rearranged briefly and reinforced the explanation. The library that was lacking in the first edition is also introduced more abundantly.

Genres: Computer Science

Paperback

First published March 26, 2015

Reviews

[Ahmet Fuat · Rating 3 out of 5]

Approaching to ML algorithms and examples are nice. But code pieces of examples are really bad. So many errors are there and sometimes you are confused which code pieces belong to where. I recommend you to just read the book and not try to implement specified code pieces.