On Machine Learning and Self-Directed Learning

In mid-September, Simon spent a couple days learning how to build a Feed Forward Neural Network, together with a friend. It all started after the friend shared a cool business … Continue reading On Machine Learning and Self-Directed Learning

Simon Shares his Derivatives Tricks: Visualizing Calculus

It never seizes to mesmerize me how Simon sees math. So many times has he solved math problems or proved theorems relying on visual, geometric illustrations instead of bluntly applying … Continue reading Simon Shares his Derivatives Tricks: Visualizing Calculus

Chaos with Legos and Shapes

It’s not that easy to make a chaos model. A system where a slight tweak in the initial conditions creates major change down the road and even makes it impossible … Continue reading Chaos with Legos and Shapes

How to Lie Honestly

Really enjoying the chapter on Statistics in our bed-time read, Math with bad Drawings by Ben Orlin, who approaches the subject in the most profound and at the same time … Continue reading How to Lie Honestly