Just Enough R An Interactive Approach to Machine Learning and Analytics

Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called "seeing then doing...

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Bibliographic Details
Main Author: Roiger, Richard J.
Format: eBook Book
Language:English
Published: Boca Raton CRC Press 2020
Chapman & Hall/CRC
CRC Press LLC
Chapman & Hall
Edition:1
Subjects:
Cognitive Artificial Intelligence
COMPUTERSCIENCEnetBASE
Data Preparation & Mining
Data structures (Computer science)
INFORMATIONSCIENCEnetBASE
Machine Learning
Machine Learning - Design
Mathematical statistics
Mathematical statistics > Data processing
Neural Networks
Programming & Programming Languages
R (Computer program language)
SCI-TECHnetBASE
Statistical Computing
STATSnetBASE
STMnetBASE
Agglomerative Clustering
Life Insurance Promotion
Test Set Accuracy
Supervised Models
Association Rules
Supervised Learner Models
Roc Curve
Multiple Linear Regression
Test Set Instance
Arules Package
Regression Model
Classifier Error Rate
Residual Standard Error
Magazine Promotion
XOR Function
Lumbar Extension
Missing Data Items
Unsupervised Clustering
Credit Card Insurance
Input Attributes
Market Basket Analysis
Time Series
Gamma Ray Burst
Roc Graph
Credit Card Promotion Database
ISBN:9780367443207, 9780367439149, 0367443201, 036743914X
Online Access:Get full text
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Summary:Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called "seeing then doing" as it first gives step-by-step explanations using simple, understandable examples of how the various machine learning algorithms work independent of any programming language. This is followed by detailed scripts written in R that apply the algorithms to solve nontrivial problems with real data. The script code is provided allowing the reader to execute the scripts as they study the explanations given in the text. Features Gets you quickly using R as a problem-solving tool. Uses RStudio's integrated development environment. Shows how to interface R with SQLite. Includes examples using R's Rattle graphical user interface. Requires no prior knowledge of R, machine learning, or computer programming. Offers over 50 scripts written in R. Several of the scripts are problem-solving templates that with slight modification, can be used again and again. Covers the most popular machine learning techniques including ensemble-based methods and logistic regression. Includes end-of-chapter exercises many of which can be solved by modifying existing scripts. Includes datasets from several areas including business, health and medicine, and science.
Bibliography:Includes bibliographical references and index
ISBN:9780367443207
9780367439149
0367443201
036743914X
DOI:10.1201/9781003006695