Machine Learning and AI concepts and techniques
Introduction to Machine learning
This session provides an overview of Artificial Intelligence (AI) and Machine Learning (ML) concepts. Students learn what AI and ML mean, how ML works, Examples of AI and ML applications and algorithms, etc. The aim of this session is to understand the concepts and basics of ML, which will serve as a base for the next sessions.
| # | Material Type | Aim | Link |
| 1. | CyBOK Topic Guide | Learn concepts | AI for Security (sections 1, 3, 5, 6, 7, and 8) |
| 2. | CyBOK Webinar | Learn knowledge | AI for Security webinar |
| 3. | Websites and Articles | Supplemental | The basic concepts of Machine Learning Tutorial: Detect stop signs in images with Model Builder |
| 4. | Videos | Supplemental | Introduction to Machine Learning Supervised vs. Unsupervised Learning Deep learning AI isn’t as smart as you think — but it could be |
| 5. | Slides | Supplemental for the lecturer | Lecture slides |
| 6. | In-class practices (Lecturer Note) | Active learning | Lecturer Notes |
| 7. | In-class practices (Students Note) | Active learning | Student Notes |