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Machine Learning Using R by Abhishek Singh and Karthik Ramasubramanian (2016, Trade Paperback)

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Examine the latest technological advancements in building a scalable machine learning model with Big Data using R. This book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data. All practical demonstrations will be explored in R, a powerful programming language and software environment for statistical computing and graphics. The various packages and methods available in R will be used to explain the topics. For every machine learning algorithm covered in this book, a 3-D approach of theory, case-study and practice will be given. And where appropriate, the mathematics will be explained through visualization in R. All the images are available in color and hi-res as part of the code download. This new paradigm of teaching machine learning will bring about a radical change in perception for many of those who think this subject is difficult to learn. Though theory sometimes looks difficult, especially when there is heavy mathematics involved, the seamless flow from the theoretical aspects to example-driven learning provided in this book makes it easy for someone to connect the dots.. What You'll Learn Use the model building process flow Apply theoretical aspects of machine learning Review industry-based cae studies Understand ML algorithms using R Build machine learning models using Apache Hadoop and Spark Who This Book is Fo r Data scientists, data science professionals and researchers in academia who want to understand the nuances of machine learning approaches/algorithms along with ways to see them in practice using R. The book will also benefit the readers who want to understand the technology behind implementing a scalable machine learning model using Apache Hadoop, Hive, Pig and Spark.

Product Identifiers

Publisher
Apress L. P.
ISBN-10
1484223330
ISBN-13
9781484223338
eBay Product ID (ePID)
229030645

Product Key Features

Author
Karthik Ramasubramanian, Abhishek Singh
Publication Name
Machine Learning Using R
Format
Trade Paperback
Language
English
Publication Year
2016
Type
Textbook
Number of Pages
Xxiii, 566 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
311.5 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Q334-342qa76.6-76.66
Reviews
"This is a fantastic and commendable effort by the authors to write a comprehensive book on machine learning. They have taken special care to provide complete R software code while discussing machine learning concepts and use cases. While there are plenty of resources on the Internet about machine learning, this book will serve as a single-source reference for both theoretical and practical machine learning leveraging R." (Computing Reviews, October, 2017)
Table of Content
Chapter 1: Introduction to Machine Learning and R.- Chapter 2: Data Preparation and Exploration.- Chapter 3: Sampling and Resampling Techniques.- Chapter 4: Visualization of Data.- Chapter 5: Feature Engineering.- Chapter 6: Machine Learning Models: Theory and Practice.- Chapter 7: Machine Learning Model Evaluation.-Chapter 8: Model Performance Improvement.- Chapter 9: Scalable Machine Learning and related technology.-
Copyright Date
2017
Topic
Programming Languages / General, Programming / General, Intelligence (Ai) & Semantics
Lccn
2016-961515
Illustrated
Yes
Genre
Computers

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Machine Learning Using R by Abhishek Singh and Karthik Ramasubramanian (2016, Trade Paperback)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

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