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Mastering machine learning with R

By: Lesmeister, Cory.
Material type: materialTypeLabelBookPublisher: Birmingham Packt Publishing Ltd 2017Edition: 2nd.Description: vi, 403 p. Includes index.ISBN: 9781787287471.Subject(s): Computers - Data processing | Machine learning | Computer program language - R | Computers - Artificial Intelligence (AI) and semantics | Computers - Image processingDDC classification: 006.31 Summary: This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you’ll understand how these concepts work and what they do. With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets. https://prod.packtpub.com/in/big-data-and-business-intelligence/mastering-machine-learning-r-second-edition
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Slot 103 (0 Floor, West Wing) Non-fiction 006.31 L3M2 (Browse shelf) Checked out 27/09/2019 199295

Table of Content

1 A Process for Success
2 Linear Regression - The Blocking and Tackling of Machine Learning
3 Logistic Regression and Discriminant Analysis
4 Advanced Feature Selection in Linear Models
5 More Classification Techniques - K-Nearest Neighbors and Support Vector Machines
6 Classification and Regression Trees
7 Neural Networks and Deep Learning
8 Cluster Analysis
9 Principal Components Analysis
10 Market Basket Analysis, Recommendation Engines, and Sequential Analysis
11 Creating Ensembles and Multiclass Classification
12 Time Series and Causality
13 Text Mining
14 R on the Cloud

This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you’ll understand how these concepts work and what they do. With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets.

https://prod.packtpub.com/in/big-data-and-business-intelligence/mastering-machine-learning-r-second-edition

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