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SIMLES

Resources

Programming

1. Probability Models

Basics of probabilities
Random Variables
Lab 1.1
Moments
Sample Statistics

2. Inference

Estimators
Cookbook: MLE for Gutenberg-Richter Law
Cookbook: Precipitation return times for Hurricane Harvey
Lab 2.1
Lab 2.1
Quality of Estimators
Hypothesis Testing
Lab 2.2

3. Machine Learning

Logistic Regression - Binary
Logistic Regression - MultiNomial
Neural Nets for Classification - Multi Layer Perceptron
Neural Nets for Regresssion - Multi Layer Perceptron
Convolutional Neural Nets for Image Recognition

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By Cristian Proistosescu

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