Python Machine Learning · 2nd Edition

Link to the GitHub Repository containing the code examples and additionalmaterial: [https://github.com/rasbt/python-machi...](https://github.com/rasbt

/python-machine-learning-book)

Many of the most innovative breakthroughs and exciting new technologies can beattributed to applications of machine learning. We are living in an age wheredata comes in abundance, and thanks to the self-learning algorithms from thefield of machine learning, we can turn this data into knowledge. Automatedspeech recognition on our smart phones, web search engines, e-mail spamfilters, the recommendation systems of our favorite movie streaming services –machine learning makes it all possible.

Thanks to the many powerful open-source libraries that have been developed inrecent years, machine learning is now right at our fingertips. Python providesthe perfect environment to build machine learning systems productively.

This book will teach you the fundamentals of machine learning and how toutilize these in real-world applications using Python. Step-by-step, you willexpand your skill set with the best practices for transforming raw data intouseful information, developing learning algorithms efficiently, and evaluatingresults.

You will discover the different problem categories that machine learning cansolve and explore how to classify objects, predict continuous outcomes withregression analysis, and find hidden structures in data via clustering. Youwill build your own machine learning system for sentiment analysis andfinally, learn how to embed your model into a web app to share with the world