Machine Learning With R Cookbook

Yu-Wei & David Chiu

Informasi Umum

Kode

15.01.2201

Klasifikasi

005.362 - Programs in specific programming language

Jenis

Buku - Circulation (Dapat Dipinjam)

Subjek

Databases

No. Rak

3

Dilihat

11 kali

Informasi Lainnya

Abstraksi

The R language is a powerful open source functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics.

This book covers the basics of R by setting up a user-friendly programming environment and performing data ETL in R. Data exploration examples are provided that demonstrate how powerful data visualization and machine learning is in discovering hidden relationships. You will then dive into important machine learning topics, including data classification, regression, clustering, association rule mining, and dimension reduction.

What you will learn Create and inspect the transaction dataset, performing association analysis with the Apriori algorithm Visualize patterns and associations using a range of graphs and find frequent itemsets using the Eclat algorithm Compare differences between each regression method to discover how they solve problems Predict possible churn users with the classification approach Implement the clustering method to segment customer data Compress images with the dimension reduction method Incorporate R and Hadoop to solve machine learning problems on Big Data