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Machine Learning and Reasoning
[edit]- Overview and motivations
- User:WillWare/ML Book Intro
- Recommender system
- Rating scale
- Collaborative filtering
- Natural language processing
- Adam (robot)
- Theoretical foundations
- Machine learning
- Data mining
- Data stream mining
- Metadata
- Artificial intelligence
- Graph theory
- Optimization (mathematics)
- First-order logic
- Bayes' theorem
- Bayesian inference
- Classification and regression
- Statistical classification
- Cluster analysis
- Naive Bayes classifier
- Regression analysis
- Logistic regression
- Bayesian linear regression
- Association rule learning
- Decision tree learning
- Random forest
- Support vector machine
- Bootstrap aggregating
- Principal component analysis
- Independent component analysis
- Boosting
- Artificial neural network
- Knowledge and reasoning systems
- Knowledge engineering
- Knowledge representation and reasoning
- Knowledge discovery
- Automated reasoning
- Semantic reasoner
- Ontology (information science)
- Expert system
- Production system
- Semantic Web
- Resource Description Framework
- Semantic network
- Automated theorem proving
- Software tools
- Orange (software)
- Prolog
- R (programming language)
- RapidMiner
- SAS (software)
- Weka (machine learning)