victormadu / coursera-aml3-bayesian-methods

Coursera, Advanced Machine Learning specialization, course 3: Bayesian Methods for Machine Learning

Coursera-AML3-Bayesian-Methods

Good notes here on various ML topics: http://www.1-4-5.net/~dmm/ml/

Courses:

• http://cs229.stanford.edu/
• https://alliance.seas.upenn.edu/~cis520/wiki/

Free online book:

• Bayesian Reasoning and Machine Learning http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/091117.pdf
  http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.Online

Books:

• Pattern Recognition and Machine Learning (Bishop) http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf
• Machine Learning - A probabilistic perspective (Murphy)

Blogs:

• http://fastml.com/bayesian-machine-learning/

PyMC:

• http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/

MCMC:

• http://homepages.inf.ed.ac.uk/imurray2/teaching/09mlss/slides.pdf

Variational Autoencoders:

• THE PAPER: Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114
  cf W5 assignment for an implementation of this paper
• https://ermongroup.github.io/cs228-notes/
• https://arxiv.org/pdf/1606.05908.pdf
• http://kvfrans.com/variational-autoencoders-explained/
• http://zhusuan.readthedocs.io/en/latest/tutorials/vae.html
• VERY GOOD: https://jaan.io/what-is-variational-autoencoder-vae-tutorial/
• http://www.cs.toronto.edu/~duvenaud/courses/csc2541/
• DEEPMIND http://shakirm.com/papers/VITutorial.pdf
• KERAS implementation https://wiseodd.github.io/techblog/2016/12/10/variational-autoencoder/
• KERAS https://blog.keras.io/building-autoencoders-in-keras.html
• http://blog.fastforwardlabs.com/2016/08/22/under-the-hood-of-the-variational-autoencoder-in.html

Gaussian Processes and Bayesian Optimization:

• VERY GOOD 1 page summary of W6: http://www.resibots.eu/limbo/guides/bo.html
• Application to active user modeling and Hierarchical Reinforcement Learning: https://arxiv.org/abs/1012.2599