##Roadmap:

https://www.metacademy.org/roadmaps/rgrosse/bayesian_machine_learning

##Course:

Bayesian Method in Machine Learning http://www.cse.wustl.edu/~garnett/cse515t/

Advanced Machine Learning http://www.seas.harvard.edu/courses/cs281/

Machine Learning and Probabilistic Model http://www.cedar.buffalo.edu/~srihari/CSE574/index.html

##Book:

Pattern Recognition and Machine Learning (PRML) by Christopher M. Bishop

Bayesian Reasoning and Machine Learning (BRML) by David Barber. Freely available online.

Machine Learning A Probabilistic Perspective (BRML) by Keven.P.Murphy

##Tools:

http://mc-stan.org/

##Deep Learning: Bayesian Reasoning and Deep Learning http://blog.shakirm.com/wp-content/uploads/2015/10/Bayes_Deep.pdf

Discussion on Bayesian and Deep Learning https://www.quora.com/Why-are-very-few-schools-involved-in-deep-learning-research-Why-are-they-still-hooked-on-Bayesian-methods

##More:

Advanced Topic Modeling http://mimno.infosci.cornell.edu/info6150/

Bayesian Analysis for NLP http://www.cs.columbia.edu/~scohen/bayesian/

Advanced NLP(Bayesian Methods) https://courses.engr.illinois.edu/cs598jhm/sp2013/index.html