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Linear Regression - The Blocking and Tackling of Machine Learning

"Some people try to find things in this game that don't exist, but football is only two things - blocking and tackling."
- Vince Lombardi, Hall of Fame Football Coach

It is important that we get started with a simple, yet extremely effective technique that has been used for a long time: linear regression. Albert Einstein is believed to have remarked at one time or another that things should be made as simple as possible, but no simpler. This is sage advice and a good rule of thumb in the development of algorithms for machine learning. Considering the other techniques that we will discuss later, there...

Key benefits

Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST

Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning

Implement advanced concepts in machine learning with this example-rich guide

Description

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.

What you will learn

Gain deep insights into the application of machine learning tools in the industry

Manipulate data in R efficiently to prepare it for analysis

Master the skill of recognizing techniques for effective visualization of data

Understand why and how to create test and training data sets for analysis

Master fundamental learning methods such as linear and logistic regression

Comprehend advanced learning methods such as support vector machines

Learn how to use R in a cloud service such as Amazon

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

$89.99

Mastering Machine Learning with R, Second Edition

$54.99

Machine Learning with R Cookbook, Second Edition

$54.99

Total $ 199.97

Bluebird Sep 03, 2017

Yes the book is worth reading. The only con is black and white pic.. Which is not too bad.apart, the book is not for starters but for the people who what deep understanding of ML. It do not contain a to z but what ever it cover it is good

Amazon Verified review

Nick P Jan 31, 2018

Highly recommend it to any student taking a finance or statics class.

Amazon Customer May 24, 2017

The book was not up to the expectations. They used very cheap paper printing is not good and also some pages are not visible to read.Content wise is also not no real time data sets used all they used toy data sets no clear explanation also as the name says "Mastering" but its notI bought "Machine learning with r from Packt" publications.That was very good.setting the expectaions from packt i bought but it is not worth.

Jose Luis Oct 05, 2017

Sometimes, the code in the book doesn't work (R shows error messages and stop running the code) because the data doesn't meet the function requirements.Charts are duplicated / missed what makes not possible to follow the examples properly.This book can be used to get notions about the process but not not master ML with R unless you have R and stats knowledge that enables you to rewrite some code.I have been sending the erratas to the publisher without any respond so far.

Mastering Machine Learning with R, Second Edition: Advanced prediction, algorithms, and learning methods with R 3.x , Second Edition

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Mastering Machine Learning with R, Second Edition

Linear Regression - The Blocking and Tackling of Machine Learning

Univariate linear regression

Multivariate linear regression

Business understanding

Other linear model considerations

Qualitative features

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