Any question regarding machine learning should have this tag. Learning from data is mainly used for prediction, classification, regression, clustering, decision making.
Main fields of machine learning:
- classification (supervised learning)
- clustering (unsupervised learning)
- regression
- deep learning
- recommendation systems (rec sys)
Applications:
- Computer vision (e.g, object tracking, gesture recognition) (see: computer-vision)
- Image recognition (e.g, face, gait, iris, handwriting) image-recognition face-recognition ocr
- Marketing (e.g, churn prediction, individual campaign, dynamic pricing, product recommendation) (see: marketing)
- Speech recognition (see: speech-recognition)
- Speaker recognition (see: voice-recognition)
- Natural language processing (NLP) nlp
- Music information retrieval (MIR)
- Bioinformatics bioinformatics
- Spam filtering (see: spam)
- Anomaly detection
- Automatic auto driving
- Recommendation system (see: recommendation-engine)
Software:
- R (also see: r-language)
- Apache Mahout
- Weka
- Scikit-learn
- RapidMiner
- KNIME
- LibSVM
- Orange
- Shogun
- Waffles
- BigML (SaaS)
- Prediction IO
- PyBrain
- Google Prediction API (SaaS API)
- Vowpal Wabbit
