1. Machine Learning SEM 1 G53MLE: Machine Learning: Guoping Qiu

2. Module has given me a good understanding of the subject Most agree Some neutral (this worries me …) One disagree (this worries me a lot …) Machine Learning as a Subject … 2 G53MLE: Machine Learning: Guoping Qiu

3. What You Said … and What I (we) will do (differently) What you like – Real life example (handwritten digit recognition) – How machine can be taught to solve problem – Specific techniques in real world applications – New methods not taught in previous modules – Cover many different techniques – Coursework with real world data 3 G53MLE: Machine Learning: Guoping Qiu

4. What You Said … and What I (we) will do (differently) What you want to see improving (I want to know how exactly we can do differently to help … ) – Longer lab sessions – We have now booked the same lab for Thursday 4 – 5 as well as 3 – 4 (we only have one lab assistant but I will make myself available as much as possible) – More tutorial guidelines – step by step (we used a week to go through some practical questions – hope this is useful) – welcome more suggestions – I will make Friday 4 – 5 (after lecture) available for answering questions 4 G53MLE: Machine Learning: Guoping Qiu

5. What You Said … and What I (we) will do (differently) Lab works made easier (more examples) – We have tried to put sample code on the web page already (I appreciate it can be a bit challenging to get started but hopefully with exercises and examples we will all get to a good level of understanding) 5 G53MLE: Machine Learning: Guoping Qiu

6. What You Said … and What I (we) will do (differently) Standard solutions to lab exercises – The nature of this subject means there is “standard” solutions as such, but again, hopefully with example code we are able to appreciate the subject and enjoy learning them. 6 G53MLE: Machine Learning: Guoping Qiu