Introduction to Machine Learning (Fall qtr 2020 UCLA) - randallwc/CSM146.

In the Introduction to Machine Learning class at UCLA, various fundamental concepts and techniques in machine learning were introduced.

This is the repository for my COM SCI M146 (Machine Learning) coursework at UCLA. This repository remains private before the course ends.

My work for CS/ECE M146 (Introduction to Machine Learning) taken at UCLA in the Spring of 2020. - melodychn/CS-M146.

Contribute to TomZhang95/UCLA-CS-M146 development by creating an account on GitHub.

This repo includes the solution (code and write-ups) for CS M146 (Machine Learning) course at UCLA. The solutions are not intended to be copied.

399 lines (310 loc) · 12.6 KB File metadata and controls Code Blame Raw 1 2 # This code was adapted from course material by Jenna Wiens (UMichigan).

This repository contains all machine learning coding projects completed in the course CS M146: Introduction to Machine Learning at UCLA during spring quarter ...

Processes the input_string, separating it into "words" based on the presence of spaces, and separating punctuation marks into their own words.

The algorithm takes longer with varied step size than with a constant step size of $10^{-4}$, but takes less time than a constant step size of $10^{-5}$.