MACHINE LEARNING TECHNIQUES. SUPERVISED LEARNING WITH R

Price: $29.99
(as of Dec 25,2024 01:26:03 UTC – Details)

ASIN ‏ : ‎ B0CKKWDH6J
Publisher ‏ : ‎ Scientific Books (October 15, 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 267 pages
ISBN-10 ‏ : ‎ 1446709744
ISBN-13 ‏ : ‎ 978-1446709740
Reading age ‏ : ‎ 1 year and up
Item Weight ‏ : ‎ 1.31 pounds
Dimensions ‏ : ‎ 7 x 0.61 x 10 inches

In the world of machine learning, supervised learning is a powerful technique that allows computers to learn from labeled data. One popular tool for implementing supervised learning is the R programming language.

R is a versatile programming language and software environment for statistical computing and graphics. It provides a wide range of tools for data manipulation, visualization, and analysis, making it ideal for implementing supervised learning algorithms.

Some common supervised learning algorithms implemented in R include linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. These algorithms can be used for a variety of tasks, such as classification, regression, and clustering.

Supervised learning with R involves training a model on a labeled dataset, where the input variables are used to predict the output variable. The model is then evaluated on a separate test dataset to assess its performance and make predictions on new, unseen data.

Overall, supervised learning with R is a powerful technique that can be used to solve a wide range of problems in fields such as finance, healthcare, marketing, and more. By leveraging the tools and algorithms available in R, data scientists can build accurate and robust predictive models that can drive business decisions and insights.
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