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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)

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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu) - okladka książki

Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu) - okladka książki

Autorzy:
AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
572
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     Mobi

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Big data has become a popular buzzword across many industries. An increasing number of people have been exposed to the term and are looking at how to leverage big data in their own businesses, to improve sales and profitability. However, collecting, aggregating, and visualizing data is just one part of the equation. Being able to extract useful information from data is another task, and a much more challenging one. Machine Learning with R Cookbook, Second Edition uses a practical approach to teach you how to perform machine learning with R. Each chapter is divided into several simple recipes. Through the step-by-step instructions provided in each recipe, you will be able to construct a predictive model by using a variety of machine learning packages. In this book, you will first learn to set up the R environment and use simple R commands to explore data. The next topic covers how to perform statistical analysis with machine learning analysis and assess created models, covered in detail later on in the book. You'll also learn how to integrate R and Hadoop to create a big data analysis platform. The detailed illustrations provide all the information required to start applying machine learning to individual projects. With Machine Learning with R Cookbook, machine learning has never been easier.

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O autorze książki

AshishSingh Bhatia is a reader and learner at his core. He has more than 11 years of rich experience in different IT sectors, encompassing training, development, and management. He has worked in many domains, such as software development, ERP, banking, and training. He is passionate about Python and Java and has recently been exploring R. He is mostly involved in web and mobile development in various capacities. He likes to explore new technologies and share his views and thoughts through various online media and magazines. He believes in sharing his experience with the new generation and also takes part in training and teaching.

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