Machine training for R. Expert techniques for prognostic analysis
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The language of R offers a powerful set of machine learning methods that allow you to quickly conduct non -trivial analysis of your data.
The book is a guide that will help to apply machine learning methods in solving daily problems. Brett Lanz will teach everything necessary for analysis of data, the formation of forecasts and visualization of data.
Here you will find information about new improved libraries, tips on ethical aspects of machine learning and prejudice problems, as well as get acquainted with deep training.
In this book:
- Fundamentals of machine learning and features of computer training with examples.
- Preparing data for use in machine learning by means of R.
- a classification of the significance of the results.
- a prediction of events with the help of trees of solutions, rules and support vectors.
- predicting numerical data and evaluating financial data using regression methods.
- modeling complex processes using neural networks- the foundation of deep learning.
- Assessment of models and improving their performance.
- the latest technologies for processing big data, in particular R 3.6, Spark, H2O and Tensorflow
The book is a guide that will help to apply machine learning methods in solving daily problems. Brett Lanz will teach everything necessary for analysis of data, the formation of forecasts and visualization of data.
Here you will find information about new improved libraries, tips on ethical aspects of machine learning and prejudice problems, as well as get acquainted with deep training.
In this book:
- Fundamentals of machine learning and features of computer training with examples.
- Preparing data for use in machine learning by means of R.
- a classification of the significance of the results.
- a prediction of events with the help of trees of solutions, rules and support vectors.
- predicting numerical data and evaluating financial data using regression methods.
- modeling complex processes using neural networks- the foundation of deep learning.
- Assessment of models and improving their performance.
- the latest technologies for processing big data, in particular R 3.6, Spark, H2O and Tensorflow
Author:
Author:LANC B
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Series:
Series: Programmer Library
Age restrictions:
Age restrictions:16+
ISBN:
ISBN:978-5-4461-1512-9
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