##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:
##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