Tutorials by Avi Kak

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Tutorials
1.	ML, MAP, and Bayesian --- The Holy Trinity of Parameter Estimation and Data Prediction	Updated: November 27, 2023
2.	Monte Carlo Integration in Bayesian Estimation	Updated: April 23, 2024
3.	Clustering Data That Resides on a Low-Dimensional Manifold in a High-Dimensional Measurement Space	Updated: November 21, 2024
4.	Variational Autoencoding for Generative Data Modeling, and PCA and LDA for Dimensionality Reduction	Updated: November 25, 2024
5.	DECISION TREES: How to Construct Them and How to Use Them for Classifying New Data	Updated: December 3, 2024
6.	Evaluating Information Retrieval Algorithms with Significance Testing Based on Randomization and Student's Paired t-Test	Updated: June 14, 2023
7.	Expectation Maximization Algorithm for Clustering Multidimensional Numerical Data	Updated: March 3, 2024
8.	AdaBoost for Learning Binary and Multiclass Discriminations	Updated: November 25, 2024
9.	Linear Regression and Regression Trees	Updated: September 27, 2024
10.	Measuring Texture and Color in Images	Updated: October 14, 2024
11.	A "Loop and Zhang" Reader for Stereo Rectification	Updated: November 9, 2024
12.	Semi-Global Matching for Dense Stereo Reconstructions	Updated: November 14, 2024
13.	Graph-Based Techniques for Image Segmentation	Updated: December 4, 2024

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