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Applied Artificial Intelligence
Common Terms
- Objective Function
- Features
- Under/Over Fitting
- Classification / Regression / Control
Methods
- Supervised (Learn a function from residuals)
- Gradient-Descent
- Perceptron
- Back-Propagation (Non-Linear)
- Reinforcement Learning (Estimating value from reward)
- Minimax, Monte Carlo Tree Search (MCTS)
- Temporal Difference Learning
- Genetic Algorithms
- NEAT
- Unsupervised (Clustering & Dimensionality Reduction)
- K-Means
- PCA
- Neural Gas
Challenges
- Making an objective function
- Training-Serving Skew
- Modeling
- Linearizing
- Feature-Extraction & Discretization
- Kernels
- Measuring Performance
Tools
- Apache Mahout http://mahout.apache.org/
- MASON http://cs.gmu.edu/~eclab/projects/mason/
- OpenNLP http://opennlp.apache.org/
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