skip to primary navigationskip to content

Department of Computer Science and Technology

Resource lists


Library resources

Artificial intelligence

Computer modelling of mathematical reasoning
The full text of the now out of print book by Alan Bundy. The files are in PostScript format so you will need suitable software installed to read it.
Deep learning
The full text of the extremely popular book. If you can’t get hold of a copy from the library bacause they’re all on loan then try this version.
Geometric deep learning: grids, groups, graphs, geodesics and gauges
Recommended for the Geometric deep learning M.Phil course, this resource is still a work in progress and freelay available on the arXiv preprint server.
Elements of robotics
One of the recommended texts for the paper 10 course, Mobile robot systems. Although on hosted SpringerLink, this book is open access and available without subscription.
Syntactic theory: a formal introduction
A draft copy of one of the widely used books for the Natural Language Processing courses. This version is the second edition and appears to be reasonably complete despite its draft status.
Representation and inference for natural language
The book by Johan Bos and Patrick Blackburn currently on the recommended reading list for the M.Phil course. There is also a second volume to this book with under title Working with discourse representation theory.
Speech and language processing
The book by Daniel Jurafsky and James Martin recommended for NLP and similar courses. This is a prepublication draft of the third edition, which is not yet available in print. Copies of the second edition are available in the libr\ary, but in heavy demand.