Machine Learning 101

What Is A Neural Network?
Overview and introduction to feed forward neural networks. Forward propagation is discussed in detail, and we see how we might train a network.
Machine Learning Glossary
A collection of commonly used machine learning terms, and what they mean.
Looking at German Traffic Signs
A practical application of convolutional neural networks.
Introduction to Tensorflow
We examine Google's open source library Tensorflow, and go through its components to understand how it can be used to create scalable machine learning models.
Solving "only 1% can answer this" Problems With Machine Learning
We examine 'genius' internet memes and consider how we might apply techniques from statistical learning to build an abstract solver.
Creating Your First Machine Learning Classifier with Sklearn
We examine how the popular framework sklearn can be used with the iris dataset to classify species of flowers. We go through all the steps required to make a machine learning model from start to end.