Python Machine Learning : Unlock Deeper Insights into Machine Learning With This Vital Guide to Cutting-edge Predictive Analytics

Raschka, Sebastian

ISBN 10: 1783555130 / ISBN 13: 9781783555130

Published by Packt Publishing, 2015

About this Item

Seller Inventory # 24739205-n

Bibliographic Details

Title: Python Machine Learning : Unlock Deeper ...

Publisher: Packt Publishing

Publication Date: 2015

Binding: Soft cover

Condition: New

About this title

Synopsis:

Machine learning and predictive analytics are transforming the way businesses and other organisations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Pylearn2, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organisation.This edition is used, in very good condition, with no noticeable defects.

About the Author:

Sebastian Raschka

Sebastian Raschka is a PhD student at Michigan State University, who develops new computational methods in the field of computational biology. He has been ranked as the number one most influential data scientist on GitHub by Analytics Vidhya. He has a yearlong experience in Python programming and he has conducted several seminars on the practical applications of data science and machine learning. Talking and writing about data science, machine learning, and Python really motivated Sebastian to write this book in order to help people develop data-driven solutions without necessarily needing to have a machine learning background. He has also actively contributed to open source projects and methods that he implemented, which are now successfully used in machine learning competitions, such as Kaggle. In his free time, he works on models for sports predictions, and if he is not in front of the computer, he enjoys playing sports.