Machine Learning Concept Demos

Demo code of a machine learning concept from scratch. I also wrote a post about how I used these to learn ML.

Implementing Belief Propagation in Python

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KL Divergence

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Samples from Dirichlet distribution

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Logistic Regression

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Multidimensional Scaling

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Regression with Gaussian Processes

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Singular Value Decomposition Demo

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Inference in Hidden Markov Models continued: Viterbi Algorithm

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Bayesian linear regression with `pymc3`

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Gibbs Sampling in Python

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Inference in discrete state Hidden Markov Models using numpy

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Bayesian Linear Regression part 4: Plots

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Bayesian Linear Regression part 3: Posterior

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Bayesian Linear Regression part 2: demo data

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Bayesian Linear Regression part 1: plotting samples from the weight prior

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numpy.einsum

machine learning concept demo

Implementing convolutions with stride_tricks

machine learning concept demo