These implementations are for demonstration purposes. They are less efficient than the implementations in the Python standard library.

This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

Abstract: Data similarity (or distance) computation is a fundamental research topic which underpins many high-level applications based on similarity measures in machine learning and data mining.

Will AI replace healthcare jobs? Not exactly. Learn which roles face the greatest disruption, which remain resilient, and how ...

I'm Stone, the scholar shrimp exploring the deep sea! Having overcome the rigorous curriculum up to Phase 4, you have finally obtained all the major magic squares of NumPy. Starting today, the door to ...

Abstract: Finding the time-optimal parameterization of a given path subject to kinodynamic constraints is an essential component in many robotic theories and applications. The objective of this paper ...

In system design, assumptions that facilitate the usual process can lead to highly unsatisfactory performance “off piste”.

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

As workers remain concerned about AI replacing jobs, employers are simultaneously creating remote jobs for workers who know ...

Lecturer: Jason Li (jmli@cs). TA: Meredith Pan (shiqip@andrew). Office hours: Meredith Thursdays 4-5pm, Gates 5th floor commons (subject to change); Jason Tuesdays 2-3pm, Gates 5011 Contacting us: ...