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Overview
Supervised machine learning is one of the most commonly used machine learning paradigms, as it can be used to leverage existing datasets to draw outcomes that support data classification and predictions.
For those who want to stay ahead, innovate, and make more informed recommendations at work, supervised learning skills are key for tackling a broad spectrum of machine learning projects.
Features
You will gain practical, hands-on experience properly implementing and evaluating supervised learning algorithms to draw relevant insights and solve problems.
During the Supervised Machine Learning course at the University of Waterloo, you will explore the supervised learning tasks that are used to classify and group data or predict outcomes in real-world situations.
Upon successful completion of the program, you will have an expanded machine learning portfolio that you can use to demonstrate your skills for potential employers, and foundational knowledge of the most popular and common supervised machine learning techniques.
Programme Structure
What you will learn:
- Identify when to use different supervised learning tools and techniques to solve real-world problems with data categorization and predictions
- Use regression methods to analyze labelled data and make predictions
- Sort data into groups using classification methods
- Measure how well your classification models work using different techniques and metrics to draw effective insights
- Improve your models by selecting the most important variables using feature selection methods
Key information
Duration
- Part-time
- 2 months
- 5 hrs/week
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Campus Location
- Waterloo, Canada
Disciplines
Artificial Intelligence Machine Learning View 24 other Short Courses in Artificial Intelligence in CanadaWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
This course forms part of a comprehensive Machine Learning Practitioner Certificate, and is designed for:
- Individuals in non-technical roles with basic programming and data preparation knowledge, aiming to gain practical, in-demand machine learning and AI skills to stay competitive in the evolving workforce.
- Current or aspiring data analysts or data scientists looking to build a machine learning portfolio.
- Data professionals looking to add machine learning techniques to their domain.
- Programmers and developers looking to to expand their machine learning knowledge and skills.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents799 CAD / full≈ 799 CAD / full -
Domestic Applies to you
Applies to youCitizens or residents799 CAD / full≈ 799 CAD / full
Funding
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