Announcements

Q&A Session

• Tomorrow we have the final scheduled Q&A session. We will discuss the structure of the exam and provide some tips for revision. Ask questions on Piazza in advance. 

Tutorials

• Attend today’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 much preparation.

Lectures  

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

Coursework

• Keep up progress on your coursework, it is due on Nov 23rd at 12pm (afternoon). Submissions instructions will be provided soon.

Q&A Session

• Attend this week’s class session (Tue 14th at 4:10pm in Appleton Tower - Lecture Theatre 2).

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.

Coursework

• Keep up progress on your coursework, it is due on Nov 23rd.

Q&A Session

• Attend this week’s class session (Tue 7th at 4:10pm in Appleton Tower - Lecture Theatre 2).

Tutorials

• Attend Tutorial 3 (Mon 6th) in Appleton Tower 5.04.
• Remember to start the tutorial problem sheet in advance of the session.
• The solutions for Tutorial 3 will be online at the end of this week.

Lectures

• Watch the videos for the two new lecture topics for this week - Recommender Systems and Neural Networks.
• Ask questions on Piazza for any parts you are not clear about.

Coursework

• Reminder that the coursework is due on Nov 23rd. [Date corrected from 24th; 23rd is the Thu in Week 10]
• Keep up progress on your coursework.
• You will have recevied feedback last week, either via email or in the drop-in session. Also read the general “Coursework progress feedback” email that was sent out on Friday.

Labs

• After you have watched this week’s lectures, start Lab 4 which will take place next week.

Q&A Session

• Attend this week’s class session (Tue 24th at 4:10pm in Appleton Tower - Lecture Theatre 2).

Tutorials

• Attend Tutorial 2 today (Monday 23rd) in Appleton Tower 5.04.
• The solutions for Tutorial 2 will be online at the end of this week.

Lectures

• Watch the videos for the two new lecture topics for this week - Evaluation and Model Selection.
• Ask questions on Piazza (not email) for any parts you are not clear about.

Coursework

• Keep up progress on your coursework.

Labs

• After you have watched this week’s lectures, start Lab 3 which will take place next week.
• The solution to Lab 2 will be posted online today.

Q&A Session

• Attend this week’s class session (Tue 17th Oct at 4:10pm in Appleton Tower, Lecture Theatre 2).

Lectures

• Watch the videos for the two new lecture topics for this week - Optimisation and Generalisation
• Ask questions on Piazza for any parts you are not clear about

Labs

• The solution for Lab 1 is now online. You can find the link on the schedule page on the course website (refresh the page if you do not see it)
• Attend Lab 2 this week, which will be on Tues, Wed, or Thurs (depending on your session) in Appleton Tower 4.12
• You should attempt the Lab 2 notebook in advance of your session

Tutorials

• Tutorial 2 will be next week (Mon Oct 23rd) in Appleton Tower 5.04
• Prepare for the tutorial in advance

Coursework

• You should have now been assigned your groups. If any adjustments/corrections are pending get in touch ASAP.

Q&A Session

• Attend this week’s class session (Tue 10th at 4:10pm in Appleton Tower - Lecture Theatre 2). We will be in this room, at this time, for the rest of the semester.

Tutorials

• Attend Tutorial 1 today (Monday 9th) in Appleton Tower 5.04.
• Check which tutorial (“workshop”) session you are assigned to - this may have changed at the end of last week.
• 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 (not email) for any parts you are not clear about.

Labs

• After you have watched this week’s lectures, start Lab 2 which will take place next week.
• The solution to Lab 1 is now online.

Coursework

• Get started on your coursework.

Q&A Session

• Attend this week’s class session (Mon at 3:10pm in Appleton Tower, Lecture Theatre 1). Note the different time and day for this week only

Lectures

• Watch the videos for the two new lecture topics for this week - Linear Regression and Decision Trees
• Ask questions on Piazza for any parts you are not clear about

Labs

• The solution for Lab 0 is now online. You can find the link on the schedule page
• Attend Lab 1 this week, which will be on either Tues, Wed, or Thurs (depending on your session) in Appleton Tower 4.12
• You should attempt the Lab 1 notebook in advance of your session

Coursework

• Form your group of three and choose from one of the two project options - deadline to fill out the form is Fri 6th of Oct at 12 noon
• We will enable the search for teammates on Piazza on Monday
• More information is available here

Strike Action - Q&A and Drop-In Labs in Week 2 cancelled

• Important Note: The Q&A session originally scheduled for Tuesday 26th of September at 4pm and the week 2 drop-in labs will be cancelled due to UCU strike action.

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 (along with the week 1 topics) in the Q&A session in week 3
• Ask questions on Piazza for any parts you are not clear about. We will respond to questions in week 3 when the strike action is over

Labs

• Complete the introduction Lab 0.
  If you are having issues with this Lab, please let us know on Piazza
• Start working on Lab 1 in advance of your scheduled lab session in week 3

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 tomorrow (Tuesday 19th September) at 5:10pm in Appleton Tower Lecture Theatre 1. Note this is one hour later than usual. 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.

Questions

For any queries, please come to the class session tomorrow or post on Piazza.

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

Welcome Week!