Understanding Machine Learning with R

This course walks through the process of creating a machine learning prediction solution. The course introduces and uses R, the primary language for Machine Learning.
Course info
Rating
(295)
Level
Beginner
Updated
Feb 17, 2016
Duration
1h 25m
Table of contents
Description
Course info
Rating
(295)
Level
Beginner
Updated
Feb 17, 2016
Duration
1h 25m
Description

In this course, you will learn how developers and Data Scientists use Machine Learning to predict events based on data. Specifically, how to format your problem to be solvable, where to get data, and how to combine that data with algorithms to create models that can predict the future. Throughout this course we will use R, one of the best known Machine Learning languages. No previous R experience is required.

About the author
About the author

Jerry Kurata is a Solutions Architect at InStep Technologies.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi, my name is Jerry Kurata and welcome to my course, Understanding Machine Learning with R. These days, machine learning is all around us, from helping doctors diagnose patients to detecting fraudulent credit card transactions. We likely encounter machine learning applications a dozen times a day and may not even realize it. It silently scans our inbox for spam emails and makes sure we see an ad on every web page for those shoes we looked at last week. This course will introduce you to machine learning and the technology behind it. You will see why companies are in such a rush to use machine learning to grow their business and increase profits. You will learn how developers and data scientists use machine learning to predict events based on data, specifically, how to format your problem to be solvable, where to get data, and how to combine that data with algorithms to create models that can predict the future. Throughout this course, we'll use the R language, the best known machine learning language. We'll utilize R and its libraries to make it easy to build and test machine learning solutions. However, you don't need prior R experience. In this course, we will learn by doing and the R code you will use will be explained in the examples. By the end of this course, you'll know the how, when, where, and why of building a machine learning solution. You will have the skills you need to transform a one-line problem statement into a tested prediction model that solves the problem. I look forward to you joining me on this journey of Understanding Machine Learning with R from Pluralsight.