Bayessian Networks Overview

Recently I decided to refresh my knowledge in machine learning. There are plenty of courses available. However I found that some rather simple topics are unnecessary overcomplicated!
Hence I would like to share few links to useful resources:

• Bayesian Analysis http://habrahabr.ru/post/170545/ and http://habrahabr.ru/post/170633/
• Naive Bayes Classifier http://habrahabr.ru/company/surfingbird/blog/150207/
• Latent Dirichlet Allocation (LDA) http://habrahabr.ru/company/surfingbird/blog/150607/
• Bayesian Networks http://habrahabr.ru/company/surfingbird/blog/176461/ and http://habrahabr.ru/company/surfingbird/blog/177889/
• Video Lesson 2 http://shad.yandex.ru/lectures/machine_learning.xml

Also Pattern Recognition and Machine Learning book by Chrisophe Bishop (eng) is available by http://www.hua.edu.vn/khoa/fita/wp-content/uploads/2013/08/Pattern-Recognition-and-Machine-Learning-Christophe-M-Bishop.pdf

Quant Bookshelf

A good resource with a list of readings for those who are interested in better understanding quants to speak the same language at least! ;)
http://www.quantstart.com/

Quantitative Finance Videos

Nathan Whitehead made a list of videos related to quantitative finance. Most are based on the book "Paul Wilmott on Quantitative Finance, 2nd Edition". And some are from "The Concepts and Practice of Mathematical Finance" by Mark Joshi.