Machine Learning SEM G 53 MLE Machine Learning
- Slides: 6
Machine Learning SEM G 53 MLE: Machine Learning: Guoping Qiu 1
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 … G 53 MLE: Machine Learning: Guoping Qiu 2
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 G 53 MLE: Machine Learning: Guoping Qiu 3
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 G 53 MLE: Machine Learning: Guoping Qiu 4
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) G 53 MLE: Machine Learning: Guoping Qiu 5
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. G 53 MLE: Machine Learning: Guoping Qiu 6
