Learning Scikit-Learn : Machine Learning in Python

Raul Garreta

ISBN 10: 1783281936 / ISBN 13: 9781783281930

Published by Packt Publishing, 2013

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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', 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.

Seller Inventory # 9781783281930

Bibliographic Details

• Title: Learning Scikit-Learn : Machine Learning in Python
• Publisher: Packt Publishing
• Publication Date: 2013
• Language: English
• ISBN 10: 1783281936
• ISBN 13: 9781783281930
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

The book adopts a tutorial-based approach to introduce the user to Scikit-learn. If you are a programmer who wants to explore machine learning and data-based methods to build intelligent applications and enhance your programming skills, this the book for you. No previous experience with machine-learning algorithms is required.

About the Authors

Raúl Garreta is a Computer Engineer with much experience in the theory and application of Artificial Intelligence (AI), where he specialized in Machine Learning and Natural Language Processing (NLP). He has an entrepreneur profile with much interest in the application of science, technology, and innovation to the Internet industry and startups. He has worked in many software companies, handling everything from video games to implantable medical devices. In 2009, he co-founded Tryolabs with the objective to apply AI to the development of intelligent software products, where he performs as the CTO and Product Manager of the company. Besides the application of Machine Learning and NLP, Tryolabs' expertise lies in the Python programming language and has been catering to many clients in Silicon Valley. Raul has also worked in the development of the Python community in Uruguay, co-organizing local PyDay and PyCon conferences. He is also an assistant professor at the Computer Science Institute of Universidad de la República in Uruguay since 2007, where he has been working on the courses of Machine Learning, NLP, as well as Automata Theory and Formal Languages. Besides this, he is finishing his Masters degree in Machine Learning and NLP. He is also very interested in the research and application of Robotics, Quantum Computing, and Cognitive Modeling. Not only is he a technology enthusiast and science fiction lover (geek) but also a big fan of arts, such as cinema, photography, and painting.

Guillermo Moncecchi is a Natural Language Processing researcher at the Universidad de la Repblica of Uruguay. He received a PhD in Informatics from the Universidad de la Repblica, Uruguay and a Ph.D in Language Sciences from the Universit Paris Ouest, France. He has participated in several international projects on NLP. He has almost 15 years of teaching experience on Automata Theory, Natural Language Processing, and Machine Learning. He also works as Head Developer at the Montevideo Council and has lead the development of several public services for the council, particularly in the Geographical Information Systems area. He is one of the Montevideo Open Data movement leaders, promoting the publication and exploitation of the city's data.