Tagged in

Machine Learning


Basics of NLP — 2

I would recommend reading my previous post here. This post contains

  • Edit Distance
  • Weighted Edit distance (Confusion Matrix)
  • Language Modelling
  • Smoothing

Drop Everything and Work on AGI?

A good question, and one we explored at a recent Foresight Institute event.

My reply was driven by two question-answer pairs:

  • Is human-level general AI (AGI) possible in the near term? Yes, it is.

Classifying Simpsons characters with neural networks — Part 1

Having wrapped up Prof. Andrew Ng’s Machine Learning course over at Coursera (highly recommended), I decided to expand a bit on one of the projects to see how a neural network would perform on my collection of Simpsons…


Classifying Simpsons characters with neural networks — Part 2

This is the second post in a follow up to my Part 1 where I used a neural network model to try to predict which Simpsons character was in the frame. The code was adapted from a project I did from a Coursera assignment on…