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:
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
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