'Neural Networks: Fundamentals and Applications' - Course at CTDS

additional research papers: https://www.dropbox.com/sh/4ol9jtbox30r4tp/AAD1tiQdxniKVTQ4DaWSq1DPa?dl=0

furthermore: https://www.dropbox.com/sh/72cktrpsnug3736/AAC0mTvic8qyjWE12InUL56Fa?dl=0

Other related courses:

CS7792 Counterfactual Machine Learning , T. Joachims, Cornell University https://www.cs.cornell.edu/courses/cs7792/2016fa/

CS 294 Deep Reinforcement Learning, Spring 2017 https://rll.berkeley.edu/deeprlcourse/

CS287 Fall 2015 https://people.eecs.berkeley.edu/~pabbeel/cs287-fa15/

CS 323 - Automated Reasoning https://cs.stanford.edu/~ermon/cs323/index.html

CS 159: Advanced Topics in Machine Learning: Structured Prediction https://taehwanptl.github.io/

CSE 599 D1: Advanced Natural Language Processing https://courses.cs.washington.edu/courses/cse599d1/16sp/syllabus.html

SURVEYS: https://github.com/metrofun/machine-learning-surveys