Intro to Machine Learning

Unravel the mystery of machine learning.

About this course

 

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!

Curriculum60 min

  • Preview
    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

About this course

 

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!

Curriculum60 min

  • Preview
    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