Machine learning

Machine learning is an important sub-area of artificial intelligence. It is a field of computer science that enables computers to learn without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change and develop by themselves.

Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term "Machine Learning" in 1959 while at IBM.

• Automated theorem proving
• Adaptive websites
• Affective computing
• Bioinformatics
• Brain–machine interfaces
• Cheminformatics
• Classifying DNA sequences
• Computational anatomy
• Computer networks
• Computer vision, including object recognition
• Detecting credit card fraud
• Economics
• Financial market analysis
• General game playing
• Information retrieval
• Internet fraud detection
• Insurance
• Linguistics
• Marketing
• Machine learning control
• Machine perception
• Medical diagnosis
• Natural language processing
• Natural language understanding
• Optimization and Metaheuristic
• Online advertising
• Recommender systems
• Robot locomotion
• Search engines
• Sentiment analysis (or opinion mining)
• Sequence mining
• Software engineering
• Speech recognition
• Handwriting recognition
• Structural health monitoring
• Syntactic pattern recognition
• Time series forecasting
• User behavior analytics
• Translation