AI and Machine Learning for Diagnostics
Welcome to AI and ML for Diagnostics Module 2023! This webpage is the primary source of information for all updates, announcements and content for the parts covered by Fayyaz Minhas. For details on other components, please contact the module organizers.
Announcements
30 Nov 2023: If any students are interested in learning about applications of machine learning in computational biology and pathology, they are welcome to attend the lecture on this topic by Fayyaz in Room FAB0.08 on Friday Dec 1 at 12noon.
Module Teaching Team
Instructor: Fayyaz MinhasLink opens in a new window
Module Organizers: Deepak Parashar and Mark Elliot
Teaching Assistants
Name | |
---|---|
SU, ZHIZHUO | zhizhuo.su@warwick.ac.uk |
ORONTI, BUSOLA | iyabosola.oronti@warwick.ac.uk |
Instructor Office HoursLink opens in a new window
Timetable
- All Times are UK Times
Lectures
Time |
Location |
---|---|
Wed Nov 15 10:00 - 12:00 | A0.39 |
Wed Nov 22 11:00 - 12:00 | IMC1.08 |
Wed Nov 29 11:00 - 12:00 | IMC1.08 |
Lab Sessions
Labs will take place after each lecture. The TAs will be coordinating the lab sessions.
Books and Other resources
[PML] Probabilistic Machine Learning: An Introduction by Kevin Patrick Murphy. MIT Press, 2021. link: http://mlbayes.ai/
[IML] Introduction to Machine Learning 3e by Ethem Alpaydin (selected chapters: ch. 1,2,6,7,9,10,11,12,13)
[DBB] Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville, (Ch 1-5 if needed as basics), Ch. 6,7,8,9 link: https://www.deeplearningbook.org/Link opens in a new window
[FNN] Fundamentals of Neural Networks : Architectures, Algorithms And Applications by Laurene Fausett, (ch. 2,6)
[Casual Reading:
The master algorithm
The Alignment Problem
The book of why
Course Materials
Slides and reading materials will be posted each week. The lab session will be available prior to the start of the lab session.
NOTE:
- It is strongly recommended that you attend all lectures in person. However, if you are unable to attend lectures due to a genuine issue, you can use the links to archived lecture recordings from my CS909 Machine Learning and Data Mining ModuleLink opens in a new window which are available at this Course Stream ChannelLink opens in a new window as well as on YoutubeLink opens in a new window (https://bit.ly/2RannLB ).