User:Compilation-error/Books/Machine Learning Primer
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Machine Learning Primer
[edit]- Machine learning
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Association rule learning
- Decision tree learning
- Deep learning
- Inductive logic programming
- Support vector machine
- Cluster analysis
- Bayesian network
- Feature learning
- Similarity learning
- Sparse dictionary learning
- Genetic algorithm
- Rule-based machine learning
- Artificial neural network
- Artificial neuron
- Activation function
- Backpropagation
- Catastrophic interference
- Linear separability
- Learning classifier system
- False positives and false negatives
- False positive rate
- Sensitivity and specificity
- Naive Bayes classifier
- Kalman filter
- Overfitting
- Receiver operating characteristic
- Confusion matrix
- Gini coefficient
- Sigmoid function
- Logistic function
- Hyperbolic function
- Inverse trigonometric functions
- Gudermannian function
- Error function
- Generalised logistic function
- Smoothstep
- Algebraic function
- Predictive analytics
- Learning curve
- K-means clustering
- Nearest neighbor search
- K-nearest neighbors algorithm