Information Technology
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Machine Learning Fundamentals in R

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Course Features

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Duration

24 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

24 hours

Course Description

Machine learning is a method that predicts the future. This track covers the prediction of categorical and numerical responses through regression and classification, as well as uncovering the hidden structure in datasets (unsupervised Learning). You will learn how to model data, how you can train models, how your models are visualized and evaluated, and how you can tune their parameters to improve performance.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Learn how to model data

Learn how you can train models

Learn how your models are visualized and evaluated

Course Instructors

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BRETT LANTZ

Data Scientist at the University of Michigan

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JOHN MOUNT

Co-founder, Principal Consultant at Win-Vector, LLC

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NINA ZUMEL

Co-founder, Principal Consultant at Win-Vector, LLC

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HANK ROARK

Senior Data Scientist, Boeing

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