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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.


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

Instructor Office HoursLink opens in a new window


  • All Times are UK Times




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: 

[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: 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.