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Course Introduction: Intro to ML 1 min
- Introductory Concepts
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Concept: Intro to Machine Learning 2 min
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Concept Summary: Introduction to Machine Learning 1 min
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Quiz: Introductory Concepts 3 min
- Predictive Modeling
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Concept: What is Predictive Modeling? 3 min
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Concept Summary: Predictive Modeling
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Concept: Model Validation 8 min
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Concept Summary: Model Validation 1 min
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Concept: Model Evaluation 10 min
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Concept Summary: Model Evaluation 1 min
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Quiz: Predictive Modeling 6 min
- Prediction: Regression
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Concept: Regression Algorithms 4 min
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Concept Summary: Regression Algorithms
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Quiz: Prediction: Regression 3 min
- Prediction: Classification
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Concept: Classification Algorithms 8 min
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Concept Summary: Classification Algorithms 1 min
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Quiz: Prediction: Classification 2 min
- Clustering
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Concept: Clustering Algorithms 6 min
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Concept Summary: Clustering Algorithms 1 min
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Quiz: Clustering 2 min
- Wrap Up
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Course Checkpoint: Intro to Machine Learning
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Tell Us What You Think: Intro to Machine Learning
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Course Complete 1 min
Intro to Machine Learning
Unravel the mystery of machine learning.
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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 |
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Target Audience |
Those who are new to machine learning or want a refresher |
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Access Level |
Free / included with registration |
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Estimated Time for Completion |
60 Minutes |
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Completion Criteria |
Pass all section waypoints with 65% and the course checkpoint with 80% |
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Supplemental Materials (Y/N) |
NONE |
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Knowledge Prerequisite(s) |
NONE |
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Technical Prerequisite(s) |
NONE |
Begin by watching the Course Introduction: Intro to Machine Learning video!