[Note: I'm adding this section due to the overwhelming amount of input from new Pull Requests that involve great materials that are slightly off-topic. They need a home, and that home is here. Please help make this better!]
- Neural Networks for Machine Learning U Toronto / Coursera
- Building Machine Learning Systems with Python source code
Packages
- mlpy Machine Learning Python
- Machine Learning Toolkit MILK
- MDP a collection of supervised and unsupervised learning algorithms
- pyBrain modular Machine Learning Library for Python
- Caffe framework for convolutional neural network algorithms
- Nolearn framework wrapping scikit neural networks
- OverFeat Convolutional Network-based image features extractor and classifier
- Hebel GPU-Accelerated Deep Learning Library in Python
- neurolab simple and powerful Neural Network Library for Python. Contains based neural networks, train algorithms and flexible framework to create and explore other networks
- Pylearn2 and Theano deep learning libraries
- Deep Learning Tutorials
- Deep Learning Course Stanford / OpenClassroom
- Introduction to WebAPIs including Twitter, Youtube, BitLy, Sunlight Foundation CodeAcademy
- Twitter Analysis tools ScraperWiki
- Six tools for web-scraping
- Web scraping NewCoder / Tutorial
- Working with Web APIs NewCoder / Tutorial
Data Journalism and Data-driven Journalism involve investigation of journalistic stories by way of data perspectives and statistical methods.
- The Data Journalism Handbook DataJournalism / Book