List of machine learning articles, papers, books, etc., I find interesting.
- Caffe - deep learning framework
- CXXNET - distributed deep learning framework
- DeepCL - OpenCL library to train deep convolutional neural networks
- GitXiv - contains published arXiv findings with open-source implementations on GitHub
- Journal of Machine Learning Research
- SciRate - Follow arXiv.org categories and see the highest ranked new papers
- CIFAR-10 and CIFAR-100
- HN comments/stories (10million+)
- MNIST DATABASE of handwritten digits
- NYC TLC Trip Record Data
- Quora: Where can I find large datasets open to the public?
- Street View House Numbers (SVHN)
- UCI ML Repository
- CS224d: Deep Learning for Natural Language Processing (Stanford)
- CS229 Machine Learning (Stanford)
- CS231n: Convolutional Neural Networks for Visual Recognition (Stanford)
- CS281: Advanced Machine Learning (Harvard)
- Deep Learning - Bengio, Goodfellow, and Courville
- Machine Learning: A Probabilistic Perspective - Murphy
- Pattern Recognition and Machine Learning - Christopher Bishop
- The Elements of Statistical Learning - Hastie, Tibshirani, and Friedman