Episode 28: Applied Artificial Intelligence

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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/