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  1. Centre for Pattern Analysis & Machine Intelligence

Tutorials on Machine Learning and Artifical Intelligence

This is a tutorial page for the CPAMI web site. It is created mostly by researchers of CPAMI. It covers various areas of Machine Learning, Artificial Intelligence, Computational Intelligence. It will be updated regularly to cover as many of the areas of CPAMI as possible.

  • Hidden Markov Model: Tutorial
  • Multi-dimensional Scaling, Sammon Mapping and Isomap: Tutorial
  • Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial
  • Sampling Algorithms, from Survey Sampling to Monte Carlo Methods: Tutorial
  • Fitting A Mixture Distribution to Data: Tutorial
  • Eigenvalue and Generalized Eigenvalue Problems: Tutorial
  • Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review
  • The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial
  • Linear and Quadratic Discriminant Analysis: Tutorial
  • Unsupervised and Supervised Principal Component Analysis: Tutorial
  • Fisher and Kernel Fisher Discriminant Analysis: Tutorial
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The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office.

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