ML Fundamentals in Javascript

1

NumPy

I recently have been exploring the field of Machine Learning; in all honesty, I have had to relearn almost all of my math fundamentals. It has been a while since college and ML is based on a lot of Linear Algebra. In this blog, I plan to curate the fundamentals alongside my implementation of them in Javascript. I know Python's NumPy library is the industry standard, but I have always been curious about how the basic operations would translate in Javascript. Full disclosure, I am just learning this myself, so if there are any mistakes along the way, please help me out!

#Data Science And Machine Learning #Data Science Tools #Python Tools 107 social mentions

2

Math.js

When you think about Matrix Operations, typically my mind jumps to loops. But using loops to iterate a matrix can start to become real ugly real quick. That's when I discovered the features of the Math.js library that provides JS and Node.js projects with powerful, optimized computations. This means that, instead of defining a matrix as an array of arrays, you could simply define a matrix and it would look something like this with Math.js:.

#Calculator #Development Tools #Productivity 19 social mentions