here are some interesting machine learning resources that I really enjoyed:
RNN/LSTMs generating text character by character http://karpathy.github.io/2015/05/21/rnn-effectiveness/
LSTMs explained http://colah.github.io/posts/2015-08-Understanding-LSTMs/
Google Brain chat bot paper http://arxiv.org/pdf/1506.05869v1.pdf
Parsley McParseface http://googleresearch.blogspot.com/2016/05/announcing-syntaxnet-worlds-most.html?m=1
Word embeddings http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/
Implementing Neural Stacks: tutorial + six part video https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/
Deep Learning Summer School videos, lots of good talks: http://videolectures.net/deeplearning2015_montreal/
"TensorFlow Machine Learning with Financial Data on Google Cloud Platform" https://www.youtube.com/watch?v=N422_CYuzZg
list of resources https://github.com/josephmisiti/awesome-machine-learning