Machine Learning

1 Introduction.- 2 Model Selection and Evaluation.- 3 Linear Models.- 4 Decision Trees.- 5 Neural Networks.- 6 Support Vector Machine.- 7 Bayes Classifiers.- 8 Ensemble Learning.- 9 Clustering.- 10 Dimensionality Reduction and Metric Learning.- 11 Feature Selection and Sparse Learning.- 12 Computational Learning Theory.- 13 Semi-Supervised Learning.- 14 Probabilistic Graphical Models.- 15 Rule Learning.- 16 Reinforcement Learning.

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• Os sistemas especialistas / sistemas baseados em conhecimento
• Aprendizagem mecânica
• Mineração de Dados
• Matemática para cientistas da computação

Machine Learning;Learning Algorithms;Neural Networks;Support Vector Machines;Decision Trees;Classification;Clustering;Supervised Learning;Semi-Supervised Learning;Unsupervised Learning;Metric Learning;Feature Selection;Rule Learning;Mathematical Models;Reinforcement Learning;Bayesian Networks