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Learning scikit-learn : machine learning in Python : experience the benefits of machine learning techniques by applying them to real-world problems using Python and the open source scikit-learn library by Raúl Garreta, Guillermo Moncecchi is a nonfiction available to read on EtoBox.

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Experience the benefits of machine learning techniques by applying them to real-world problems using Python and the open source scikit-learn library **Overview** * Use Python and scikit-learn to create intelligent applications * Apply regression techniques to predict future behaviour and learn to cluster items in groups by their similarities * Make use of classification techniques to perform image recognition and document classification **In Detail** Machine learning, the art of creating applications that learn from experience and data, has been around for many years. However, in the era of “big data”, huge amounts of information is being generated. This makes machine learning an unavoidable source of new data-based approximations for problem solving. With Learning scikit-learn: Machine Learning in Python, you will learn to incorporate machine learning in your applications. The book combines an introduction to some of the main concepts and methods in machine learning with practical, hands-on examples of real-world problems. Ranging from handwritten digit recognition to document classification, examples are solved step by step using Scikit-learn and Python. The book starts with a br

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Author

Raúl Garreta, Guillermo Moncecchi

Publisher

Packt Publishing Limited

Published

2013

Language

EN

ISBN

9781306157735

Category

nonfiction

Subjects

Science, Computer Science, Stem