Mastering Machine Learning with scikit-learn (Mobi + Code Files)

Mastering Machine Learning with scikit-learn (Mobi + Code Files)
Mastering Machine Learning with scikit-learn (Mobi + Code Files)
English | 2014 | ISBN: 1783988371 | 238 Pages | Mobi + Code Files | 9 MB + 9 MB

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.

This book examines machine learning models including logistic regression, decision trees, and support vector machines, and applies them to common problems such as categorizing documents and classifying images. It begins with the fundamentals of machine learning, introducing you to the supervised-unsupervised spectrum, the uses of training and test data, and evaluating models. You will learn how to use generalized linear models in regression problems, as well as solve problems with text and categorical features.

You will be acquainted with the use of logistic regression, regularization, and the various loss functions that are used by generalized linear models. The book will also walk you through an example project that prompts you to label the most uncertain training examples. You will also use an unsupervised Hidden Markov Model to predict stock prices.

By the end of the book, you will be an expert in scikit-learn and will be well versed in machine learning.

Download link:


Links are Interchangeable - Single Extraction - Premium is support resumable
[related-news][/related-news]
Dear visitor, you are browsing our website as Guest.
We strongly recommend you to register and login to view hidden contents.

Comments:

Add Comment
 

Copyright 2016 picwash.com
Powered by DataLife Engine .
All Rights Reserved.