ML in JS
Machine learning helps us navigate and process large volumes of data. We can ask all sorts of questions about our data, and hope that ML can answer them: what is this data point most similar to? Does the data come in patterns? Can we predict what will happen in the
Physics
So far, we’ve modeled everything in this series as particles. Particles are the simplest way to model something physically, because they only have a location in space and don't have a size or shape. Particles can only translate (move), and can’t rotate. This article is part of the
ML in JS
Today we're going to revisit the genetic algorithm. If you haven't read Genetic Algorithms Part 1 yet, I strongly recommend reading that now. This article will skip over the fundamental concepts covered in part 1 -- so if you're new to genetic algorithms you'll definitely want to start there. Just
Physics
Our big project -- our goal -- for this mechanics/dynamics portion of Modeling Physics in Javascript is to model a car's suspension system. It'll take us three non-consecutive articles to get there, but it's a worthy system to model. If you can model a car suspension then it's safe
Storytelling
If you wish to make an apple pie from scratch, you must first invent the universe. Carl Sagan The above Carl Sagan quote is why most smart people are bad teachers. Smart, impassioned people know the whole story behind what they're teaching. Smart people like to think about the whole
