AML-DL: Applied Machine Learning

Welcome!

We'll be introducing you to a number of machine learning methods and concepts, helping you understand how they work, and how to apply them. The course features a lot of hands-on work with Python.

We start on Monday of week 1, at which point we will be releasing the study materials. 

The course operates as a "flipped classroom", meaning that your first introduction to a week's material is done outside the classroom. To facilitate this, we provide you with a weekly reading guide, pointing out resources (book sections/paragraphs, course material, websites, etc) that will help you learn the relevant topics.

Additionally, the course runs 4 weekly sessions of either labs or tutorials, alternating each week, from Week 2 to Week 9.  Each week, starting in week 1, prior to the next week's lab or tutorial, you will be expected to study or attempt the relevant sheets. You can discuss these with other students on the course's Piazza Forum. The labs and tutorials sessions are held live on Learn 's Class Collaborate - these are drop-in sessions with no need to register.

Each week features a couple of topics for you to delve into, and there is a list of video recordings and accompanying slides available for you to get started on. However, please note that to understand the topics in-depth you will have to engage well beyond a simple play through of the videos. It is also recommended that you familiarize yourselves with the School's common marking scheme, as mark distributions differ from those operating in some other educational systems: https://registryservices.ed.ac.uk/timetabling-examinations/exams/regulations/common-marking-scheme 

At the end of each week, the team will be analyzing your communications on Piazza and Quiz results (from week 2) to understand where you are struggling or would like further information. We then use this material to prepare the next week's class meeting run by Dr Heather Yorston the Course Organiser.

To summarize, a typical week will have you:

• Read the week's study guide.
• Watch the recorded lectures, and attempt any quizzes on Learn.
• Prepare for next week's lab or tutorial.
• Ask/answer questions on Piazza.
• Attend this week's tutorial or lab.
• Attend the class meeting for the week's topics.

The course also features two courseworks.  

We're looking forward to meeting you!