A Quick Introduction to Machine Learning
This video course is meant to help learners understand what machine learning can be used for, how it works, and some different methods for doing it. And you'll also learn how to build and use machine learning processes responsibly.
Free
- Data analysis using software
- 2 (Registered)

15
Sep
Free
Course Description
This is a video course, offered by Statistics Canada, that provides an explanation of the basic concepts of machine learning and include a framework for responsible machine learning processes. It is recommended for those who already have some familiarity with the concepts and techniques associated with computer programming and using algorithms to analyze data. One important distinction we will make in this video is the differences between Data Science, Artificial Intelligence and Machine Learning.
Learning Outcomes
By the end of this video, you’ll become familiar with:
- the difference between data science, artificial intelligence and machine learning
- what machine learning can be used for
- how it works, and some different methods for doing it
- how to build and use machine learning processes responsibly
Requirements
- Basic familiarity with the concepts and techniques associated with computer programming and using algorithms to analyze data.
Features
- This is an individual self-paced online course offered by Statistics Canada, delivered through video content
Target audiences
- Basic. Anyone seeking to understand what machine learning can be used for, how it works, and some different methods for doing it.
FAQs
This course provides a quick introduction to machine learning and is meant to help learners understand what machine learning can be used for, how it works, and some different methods for doing it.
This is an individual self-paced video course
You should expect to complete the video course and related reading materials within 30 - 45 minutes.