Creating a game and making a genetic algorithm to play it

Recently I’ve been using the Phaser JavaScript game framework to create a game with a friend. I thought that it would be interesting to use what I’ve learned to create a basic game that a genetic algorithm can play. I ended up with a simple game where the player has to jump over rocks floatingContinue reading “Creating a game and making a genetic algorithm to play it”

Andrew Ng’s Machine Learning Course

I recently finished the free online machine learning course by Stanford University professor Andrew Ng on coursera. It gives a grounding of the core concepts of machine learning such as cost functions and gradient descent and explores how different supervised and unsupervised learning algorithms such as linear regression, neural networks, support vector machines and K-meansContinue reading “Andrew Ng’s Machine Learning Course”

Using a neural network to predict future CO2 levels

I’ve recently been experimenting with Keras neural networks for basic example problems and I’ve been wanting to try and apply one to real-life data. While exploring I came across the NOAA’s data about carbon dioxide concentrations. They have been measuring the CO2 concentration in Mauna Loa, Hawaii regularly since 1958. As well as this theyContinue reading “Using a neural network to predict future CO2 levels”

Design a site like this with WordPress.com
Get started