Persistent Homology (Part 4)

February 23, 2017
In part 4 we use linear algebra to build out simple algorithms to efficiently calculate homology groups and Betti numbers.
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Persistent Homology (Part 3)

February 23, 2017
In part 3 we start calculating homology groups and Betti numbers of simplicial complexes.
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Persistent Homology (Part 2)

February 22, 2017
In part 2 we implement an algorithm to construct a simplicial complex from data and continue to build up the fundamental mathematical knowledge for TDA
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Topological Data Analysis - Persistent Homology

February 22, 2017
(Part 1) In this multi-part series I will go through the fundamental mathematics and algorithms of a powerful new tool for analysis of complex data.
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Q-learning with Neural Networks

October 30, 2015
In part 3 of the reinforcement learning series we implement a neural network as the action-value function and use the Q-learning algorithm to train an agent how to play Gridworld.
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Reinforcement Learning - Monte Carlo Methods

October 25, 2015
Part 2 of the RL series. A slightly deeper dive into reinforcement learning methods by learning how to use Monte Carlo simulations to learn how to play blackjack.
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