Research // Data // Statistics
I love using Spacemacs. I like how extensible Emacs is, but prefer the modal editing nature of Vi(m), and Spacemacs provides the best of both worlds through the use of Evil. Tinkering with my editor configuration to get the perfect setup is fun, and there are a few ways this can be achieved: Use base … Read moreConfigure (base) Spacemacs
We have previously discussed OR logic gates and the importance of bias units in AND gates. Here, we will introduce the XOR gate and show why logistic regression can’t model the non-linearity required for this particular problem. As always, the full code for these examples can be found in my GitHub repository here. XOR gates … Read moreXOR Logic Gate – Neural Networks
Previously, we talked about simple OR gates and now we’ll continue that discussion with AND gates, and specifically the role of bias units. We often neglect to consider the role bias plays in our models. We know that we should include bias units, but why? Here, I’ll walk through a short example using an AND … Read moreAND Logic Gate – Importance of bias units
Theano is a powerful Python library that provides some useful tools for machine learning, such as GPU training and symbolic differentiation of the cost function during gradient descent. It can be a bit challenging to understand how Theano works, so before jumping into more complex non-linear models, we can get to grips with Theano by … Read moreOR Logic Gate using Theano
Whenever I do any machine learning I either manually implement models in MATLAB or use Python libraries like scikit-learn where all of the work is done for me. However, I wanted to learn how to manually implement some of these things in Python so I figured I’d document this learning process over a series of … Read moreMultiple Regression using Python