Machine learning

http://en.wikipedia.org/wiki/Machine_learning
http://sealmemory-stat.blogspot.tw/2013/12/standford-machine-learning-1.html
http://blog.prediction.io/machine-learning
http://online.stanford.edu/course/machine-learning
https://www.coursera.org/course/ml
http://docs.aws.amazon.com/machine-learning/latest/mlconcepts/mlconcepts.html

Machine Learning Process:

1. Formulating the Problem
2. Collecting Labeled Data
3. Analyzing Your Data
4. Feature Processing
5. Splitting the Data into Training and Evaluation Data
6. Training the Model
7. Evaluating Model Accuracy
8. Improving Model Accuracy
9. Using the Model to Make Predictions
10. Retraining Models on New Data

• Decision tree learning
• Association rule learning
• Artificial neural networks
• Inductive logic programming
• Support vector machines
• Clustering
• Bayesian networks
• Reinforcement learning
• Representation learning
• Similarity and metric learning
• Sparse Dictionary Learning