This semester, we are returning to Russell and Norvig's Artificial Intelligence: A Modern Approach (3rd Edition).
Last time, we did the first part of the book, plus chapters 13-15 on Bayesian inference and Bayes nets. This time we are moving on to making decisions and integrating desires with Bayesian inference. We start with Chapter 16 ('Making Simple Decisions') and work forwards. We will progress to chapters on learning, neural nets, and RL.
A preview of the book is here: http://d.pr/11BOc
If you would like a gentle introduction to machine learning, this reading group is for you. There is some mathematical content, but don't let this put you off. We will work through the material slowly together. The book also gives good intuitive glosses.
If you are interesting in joining the group, and haven't done so already, please send me an email and I'll add you to the email list.
We are meeting in 1.01 DSB (please note the change of venue), 1-2pm on the following dates:
• 20 Sept
• 4 Oct
• 18 Oct
• 1 Nov
• 15 Nov
• 13 Dec