Machine Learning – Cantor's Archive

Proof Theory

How Mathematical Proofs can Help Unlock the Secrets of the Brain

Computational neuroscience, broadly defined, is the mathematical and physical modeling of neural processes at a chosen scale, from molecular and cellular to systems, for the purpose of understanding how the brain represents and processes information. The ultimate objective is to provide an understanding of how an organism takes in sensory

Gradient Descent

Gradient Descent for Machine Learning, Explained

In typical machine learning problems, there is always an input and a desired output. However, the machine doesn’t really know that.

Machine Learning

Getting Started with Random Matrices: A Step-by-Step Guide

In the Deep Learning (DL) age, more and more people have encountered and used (knowingly or not) random matrices. Most of the time this use is limited to the initialization of the networks weights, that can be accomplished with a single line of code in your favorite DL framework.

Computer Science

What is Machine Learning, actually?

A simple, intuitive guide to artificial intelligence