Introduction to Machine Learning and AI CO231 / A23
Summary
From self-driving cars to determining someone's age, artificial intelligence (AI) systems trained with machine learning (ML) are being used more and more. But what is AI, and what does machine learning actually involve?
Who is it for?
This course is for current or prospective teachers of computer science who have some understanding of computer science principles.
What topics are covered?
- Classification and making predictions
- Data Science and Machine Learning
- Supervised and unsupervised learning
- Neural networks
- Ethics and Machine Learning
How will you learn?
This online, self-paced course can be completed flexibly. You can join and start this course at any time after the advertised date. You can learn independently or with colleagues to directly address your individual needs.
This course will be periodically facilitated by expert Professional Development Leaders.
How long is this course?
This is approximately 8 hours of self-directed learning.
Who is the course leader?
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This is a self-paced Online Course
The course leader will be introduced in the course.
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Outcomes
By the end of the course, you‘ll be able to...
- Demonstrate several working machine learning models
- Explain the different types of machine learning, and the problems that they are suitable for
- Compare supervised, unsupervised, and reinforcement learning
- Discuss the ethical issues surrounding machine learning and AI
Sessions
| Date | Time | Location | |
|---|---|---|---|
| 1 Introduction to Machine Learning and AI | 01 September 2023 | 00:00-00:00 | Online course |
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Fees & Subsidies
Additional information
For courses at the National STEM Learning Centre in York, fees include meals and accommodation for the duration of the course.
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