Posts

Hi! This is an unordered collection of posts grouped into 3 broad categories:

cheat sheet tutorial demo

Have a look around!

[WIP] Gaussian process regression

Notes on GPR

In draft (last updated: 1 Mar 2020)

tutorial

[WIP] Probability distributions

Notes on probability distributions

In draft (last updated: 1 Mar 2020)

cheat sheet

[WIP] Gaussian mixture model and the EM algorithm

Notes on GMM & EM algorithm

In draft (last updated: 19 Feb 2020)

tutorial

Mixture models

Notes on mixture models

Last updated: 19 Feb 2020

tutorial

TF-IDF demo

Notes on naive Bayes for categorical and continuous data

Last updated: 24 Sep 2019

demo NLP

Naive Bayes classification

Notes on naive Bayes for categorical and continuous data

Last updated: 4 Oct 2019

tutorial

Stochastic gradient descent optimisers

A cheat sheet of stochastic gradient descent optimisers

Last updated: 22 Sep 2019

cheat sheet

Evaluation metrics for classification

A cheat sheet of the common evaluation metrics with code

Last updated: 19 Feb 2020

cheat sheet

Loss functions

A cheat sheet of common loss functions

Last updated: 19 Mar 2020

cheat sheet

Word2Vec demo

Training word embeddings using TensorFlow.js

Last updated: 23 Sep 2019

demo NLP

Backpropagation demo

How backpropagation works

Last updated: 31 Jul 2019

demo

By Raimi

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