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About this product
Product Identifiers
PublisherPackt Publishing, The Limited
ISBN-101783281936
ISBN-139781783281930
eBay Product ID (ePID)177996507
Product Key Features
Number of Pages100 Pages
LanguageEnglish
Publication NameLearning Scikit-Learn : Machine Learning in Python
Publication Year2013
SubjectSoftware Development & Engineering / Tools, Programming Languages / Python
FeaturesNew Edition
TypeTextbook
Subject AreaComputers
AuthorGuillermo Moncecchi, Raúl Garreta
FormatTrade Paperback
Dimensions
Item Height0.2 in
Item Weight7.7 Oz
Item Length9.2 in
Item Width7.5 in
Additional Product Features
Dewey Edition23
IllustratedYes
Dewey Decimal006.31
Edition DescriptionNew Edition
SynopsisMachine 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., 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., 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 brief introduction to the core concepts of machine learning with a simple example. Then, using real-world applications and advanced features, it takes a deep dive into the various machine learning techniques.You will learn to evaluate your results and apply advanced techniques for preprocessing data. You will also be able to select the best set of features and the best methods for each problem.With Learning scikit-learn: Machine Learning in Python you will learn how to use the Python programming language and the scikit-learn library to build applications that learn from experience, applying the main concepts and techniques of machine learning.