Basic machine learning algorithms
Starting points for supervised and unsupervised learning, with the key algorithms explained from first principles.
Books
Free fast tracks that master a subject using the best academic resources online.
Books
The Books section is a collection of texts and website links that define and master a subject. It is free from advertising, the creator does not give a personal opinion on the subject, and no registration is needed to access the books.
The main idea is to offer other people a free fast track to master a concept by using the best resources available online, preferably academic resources. The salon has been processing seven books.
Starting points for supervised and unsupervised learning, with the key algorithms explained from first principles.
A draft track through neural networks, representation learning and modern deep architectures.
Probabilistic reasoning, graphical models and approximate inference.
Distributed storage and processing for data that does not fit on one machine.
Image understanding, recognition and visual inference.
Machine learning applied to biological sequences, structure and data.
Optimisation and search inspired by biological evolution.
Many of the textbooks behind these tracks are gathered on the books and slides page, together with lecture slides and presentations.