Introduction to Machine Learning and AI CO231
Discover the fundamentals of machine learning, how it works, and learn to train your own AI using free online tools.
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 course is not facilitated. You can learn independently or with colleagues to directly address your individual needs.
How long is this course?
This is approximately 8 hours of self-directed learning.
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