In the sixty years since Arthur Samuel first published his seminal machine learning work, artificial intelligence has advanced from being not as smart as a flatworm to having less common sense than a house cat. (more…)
Read more »
Transparent machine learning is introduced as an alternative form of machine
learning, where both the model and the learning system are represented in
source code form. The goal of this project is to enable direct human
understanding of machine learning m... (more…)
Read more »
These notes form a concise introductory course on machine learning with large-scale graphs. They mirror the topics topics covered by Stanford CS224W, and are written by the CS 224W TAs.
⊕The notes are still under construction! They will be written up as l... (more…)
Read more »
What is machine learning? See how it works with our animated data visualization.
Read more »
Let’s go through a high-level exploration of the evolution of computational hardware technologies with a focus on applications to machine… (more…)
Read more »