Book

Applied Unsupervised Learning with R

Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and all features of R that enable you to understand your data better and get answers to all your business questions.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

10h40m

Language

English

About Book

Who Is This Book For?

Applied Unsupervised Learning with R is designed for business professionals who want to learn about methods to understand their data better, and developers who have an interest in unsupervised learning. Although the book is for beginners, it will be beneficial to have some basic, beginner-level familiarity with R. This includes an understanding of how to open the R console, how to read data, and how to create a loop. To easily understand the concepts of this book, you should also know basic mathematical concepts, including exponents, square roots, means, and medians.

Book content

chapters 10h40m total length

Introduction to Clustering Methods

Advanced Clustering Methods

Probability Distributions

Dimension Reduction

Data Comparison Methods

Anomaly Detection

Related Resources

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