Announcements

Coursework - supplementary material

• Reminder to submit your code and latex source before Thurs 27th at 5pm. Submission will be via Learn, and will be available soon. You can find detailed instructions here.

Exam Revision

• Exam revision tips can be found on the exam page here.

Course Survey

• We welcome your feedback! Please fill out the course survey. See email on Fri 14th of Nov for the link.

General

• There are no more Q&A sessions for AML and no more new lecture videos, tutorials, or labs. 

Q&A Session in Week 10 - Cancelled

• The Q&A session in week 10 on Tues 18th at 4:10pm is cancelled due to the strike action.

Coursework

• Keep up progress on your coursework, it is due this Thurs 20th Nov. Submissions should be uploaded via Learn and cannot be submitted any other way.

Course Survey

• We welcome your feedback! Please fill out the course survey. See email on Fri 14th of Nov for the link.

Tutorials

• Attend this weeks tutorial on Ethics and Fairness. This is a different style of tutorial from the first three, i.e. it is more discussion orientated and will not require much preparation.

Lectures  

• There are no more pre-recorded lectures. You can start rewatching the previous ones to revise for the exam.  

Q&A Session

• Attend this week’s class session.

Lectures

• Watch this week’s lectures on “Ethics and Fairness” and “Further Topics”. The links are on the course webpage.
• Ask questions on Piazza for any parts you are not clear about.

Labs

• Attend Lab 4 on Neural Networks this week.

Tutorials

• Read the problem sheet for next week’s tutorial on Ethics and Fairness. This is a different style of tutorial from the first three, i.e., it is more discussion orientated and will not require as much preparation.

Coursework

• Keep up progress on your coursework which is due next week.

Below are your tasks for this week.

Q&A Session

• Attend this week’s class session: Tue 04th at 4:10pm at 40 George Sq., Lecture Theatre A

Lectures

• Watch the videos for the two new lecture topics for week 6 - Recommender Systems and Neural Networks.
• The links to the videos and slides are on the Schedule page. We will discuss these in the Q&A session in week 9.
• Ask questions on Piazza for any parts you are not clear about.

Labs

• After you have finished this week’s tutorials and lectures, start Lab 4 which will take place next week.
• The solution to Lab 3 is now online.

Tutorials

• Attend Tutorial 3 this week in Appleton Tower 5.04.
• The solutions for Tutorial 3 will be online at the end of this week.

Coursework

• Keep up progress on your coursework.
• Note in particular the course policy on extensions (not allowed)! See the course information page for more details.

Below are your tasks for AML for this week.

Q&A Session

• Attend this week’s class session (Tue 28th at 4:10pm).

Lectures

• Watch the videos for the new lecture topics for week 7 - Clustering and Non-Linear Dimensionality Reduction.
• The links to the videos and slides are on the Schedule page. We will discuss these in the Q&A session in week 8.
• Ask questions on Piazza for any parts you are not clear about.

Labs

• Lab 3, which will cover Evaluation will take place this week. Note the time and location of your lab session so that you turn up on time.
• You should have started working on Lab 3 in advance of your scheduled lab session.
• You can the solution for Lab 2 linked on the Schedule page in week 5.

Tutorials

• The next tutorial will take place in week 8, you can find the tutorial sheet in the schedule for week 8. We recommend that you attempt all the questions in advance of your tutorial session.

Coursework

• Continue working on your coursework
• Note the deadline for interim feedback is 5pm Wed 29 Oct. Please use the form linked on the website.
• The feedback session itself will be 1-4pm Fri 31 Oct (AT 5.04). If you’re interim report looks on track, we will let you know so you do not have to come to this session.

Below are your tasks for this week.

Q&A Session

• Attend this week’s class session: Tue 21st at 4:10pm at 40 George Sq., Lecture Theatre A

Lectures

• Watch the videos for the two new lecture topics for week 6 - Evaluation and Model Selection.
• The links to the videos and slides are on the Schedule page. We will discuss these in the Q&A session in week 7.
• Ask questions on Piazza for any parts you are not clear about.

Labs

• After you have finished this week’s tutorials and lectures, start Lab 3 which will take place next week.
• The solution to Lab 2 is now online.

Tutorials

• Attend Tutorial 2 this week in Appleton Tower 5.04.
• The solutions for Tutorial 2 will be online at the end of this week.

Coursework

• Keep up progress on your coursework.
• Remember the deadline for interim feedback (Oct 29) and the feedback session itself (Oct 31 1-4pm AT 5.04).

Below are your tasks for this week.

Q&A Sessions going forward

• Q&A sessions from this week onwards will be at 16:10 at 40 George Sq., Lecture Theatre A

Lectures

• Watch the videos for the new lecture topics for week 5 - Optimisation and Generalisation. The links to the videos and slides are on the Schedule page. We will discuss these in the Q&A session in week 6 (i.e., next week)
• Ask questions on Piazza for any parts you are not clear about

Labs

• Lab 2, which will cover Exploratory Data Analysis, Visualisation, and PCA, will take place this week. Note the time and location of your lab session so that you turn up on time
• You should have started working on Lab 2 in advance of your scheduled lab session
• You can find the solution for Lab 1 linked on the Schedule page in week 3

Tutorials

• Your second tutorial will take place in week 6, you can find the tutorial sheet in the schedule for week 6.
• We strongly recommend that you attempt all the questions in advance of your tutorial session
• You can find the solution for Tutorial 1 linked on the Schedule page in week 4

Coursework

• Groups have now been assigned, and You should have all gotten started with your chosen topic.

Below are your tasks for this week.

Q&A Session

• Attend this week’s class session.
• The Q&A session in week 4 will be on Wed 8th, not Tues 7th. This change is for week 4 only

Tutorials

• Attend Tutorial 1 (i.e., “Workshop” in the timetable) this week in Appleton Tower 5.04.
• The solutions for Tutorial 1 will be online at the end of this week.

Lectures

• Watch the videos for the two new lecture topics for this week - Representing Data and Exploratory Data Analysis. Note, there is only one video in the playlist for Representing Data.
• Ask questions on Piazza for any parts you are not clear about.

Labs

• After you have finished this week’s tutorials and lectures, start Lab 2 which will take place next week.
• The solution to Lab 1 is now online, see the course schedule page.

Coursework

• Get started on your coursework.

Below are your tasks for this week.

Q&A Session in Week 4

• The Q&A session in week 4 will be on Wed 8th, not Tues 7th. This change is for week 4 only

Lectures

• Watch the videos for the new lecture topics for week 3 - Linear Regression and Decision Trees. The links to the videos and slides are on the Schedule page. We will discuss these in the Q&A session in week 4
• Ask questions on Piazza for any parts you are not clear about

Labs

• Lab 1, which will cover Classification, Naive Bayes, and Logistic Regression, will take place this week. Note the time and location of your lab session so that you turn up on time
• You should have started working on Lab 1 in advance of your scheduled lab session
• You can the solution for Lab 0 linked on the Schedule page in week 2

Tutorials

• Your first tutorial will take place in week 4, you can find the tutorial sheet in the schedule for week 4. We would recommend that you attempt all the questions in advance of your tutorial session

Coursework

• We will discuss the planning and structure of the coursework in this week’s Q&A session on Sep 30th

Below are your tasks for this week.

Lectures

• Make sure you have watched the videos from week 1 so that you do not fall behind
• Watch the videos for the new lecture topics for week 2 - Naive Bayes Classification and Logistic Regression. The links to the videos and slides are on the Schedule page. We will discuss these in the Q&A session in week 3
• Ask questions on Piazza for any parts you are not clear about

Labs

• Check your personal timetable to see which lab group/time you have been assigned to
• Complete the introduction Lab 0. If you are having issues with this lab, please let us know on Piazza or during the class session in week 2
• Start working on Lab 1 in advance of your first scheduled lab session in week 3

Greetings AML students!

Thanks for attending the AML class session today! If you were not able to make it, the recording is available in Learn.

Below are your tasks for this week.

Lectures

• Watch the videos for the two lecture topics this week - “Introduction to ML” and “Introduction to Classification”. Make sure you are logged in (top right) to see the videos.
• Ask questions on Piazza for any parts you are not clear about, but check if others have asked the question first.

Introduction Lab

• Attempt Lab 0 in your own time. The link is available on the schedule page on the course website for week 2.
• In the readme for the labs you will also find instructions for how to use Noteable and how to import the lab files.

See you next week in the Q&A Session.

Best wishes
Oisin Mac Aodha and Siddharth N.
AML Course Organisers

Greetings AML students!

This is an announcement for all those registered for Applied Machine Learning (AML - INFR11211) in semester one. Please read this carefully as it contains important information.

The full course schedule and lectures are available on this page.

Class Sessions

The first class meeting is next week (Tuesday 16th September) at 4:10pm in Appleton Tower - Lecture Theatre 4.

Make sure to attend this session on time as we will discuss many of the logistics of the course and you will also have an opportunity to ask questions there. It will be recorded in case you cannot make it.

Lectures, Labs, and Tutorials

The lectures for AML are pre-recorded and will be available from our course website one week in advance of each topic. There will also be an in-person tutorial or lab session held every other week, with labs in weeks 3, 5, 7, 9, and tutorials in weeks 4, 6, 8, 10. We will discuss this in more detail in our class session on Tuesday.

Questions

For any queries, please come to the class session or post on Piazza, i.e. don’t respond to this email.

We hope that you will learn a lot about machine learning and how to apply it over the semester!

Best wishes
Oisin Mac Aodha and Siddharth N.
AML Course Organisers