
Course Introduction: Intro to ML 1 min
 Introductory Concepts

Concept: Intro to Machine Learning 2 min

Concept Summary: Introduction to Machine Learning 1 min

Quiz: Introductory Concepts 3 min
 Predictive Modeling

Concept: What is Predictive Modeling? 3 min

Concept Summary: Predictive Modeling

Concept: Model Validation 8 min

Concept Summary: Model Validation 1 min

Concept: Model Evaluation 10 min

Concept Summary: Model Evaluation 1 min

Quiz: Predictive Modeling 6 min
 Prediction: Regression

Concept: Regression Algorithms 4 min

Concept Summary: Regression Algorithms

Quiz: Prediction: Regression 3 min
 Prediction: Classification

Concept: Classification Algorithms 8 min

Concept Summary: Classification Algorithms 1 min

Quiz: Prediction: Classification 2 min
 Clustering

Concept: Clustering Algorithms 6 min

Concept Summary: Clustering Algorithms 1 min

Quiz: Clustering 2 min
 Wrap Up

Course Checkpoint: Intro to Machine Learning

Tell Us What You Think: Intro to Machine Learning

Course Complete 1 min
Intro to Machine Learning
Unravel the mystery of machine learning.
Machine learning is used across industries to help organizations solve problems and improve their products. Introduction to Machine Learning is a front row seat to help beginners unravel the mystery behind machine learning. You can use this course to gain knowledge of basic machine learning concepts in preparation for, or alongside, more advanced courses. 
Learning Objectives
At the end of this course, you will be better acquainted with:
1  Introductory concepts such as supervised and unsupervised learning
2  The difference between prediction and clustering
3  Classification algorithms such as random forest and decision trees
4  Regression algorithms such as simple and multiple linear regression
Course Properties
Course Title  Introduction to Machine Learning 
Target Audience 
Those who are new to machine learning or want a refresher 
Access Level 
Free / included with registration 
Estimated Time for Completion 
60 Minutes 
Completion Criteria 
Pass all section waypoints with 65% and the course checkpoint with 80% 
Supplemental Materials (Y/N) 
NONE 
Knowledge Prerequisite(s) 
NONE 
Technical Prerequisite(s) 
NONE 
Begin by watching the Course Introduction: Intro to Machine Learning video!