Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Computer coding genius George Hotz asks the Mistral 7B model to make the Q* algorithm in python and run it. This is near AGI level actions. He added in a human in the loop safety feature. It ...
This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...
This unit will introduce middle school students to basic Python programming concepts while exploring space science themes. The unit will culminate in a final project where students create a simple ...
This course is compulsory on the BSc in Data Science and BSc in Mathematics with Data Science. This course is available on the BSc in Mathematics and Economics, BSc in Mathematics with Economics, BSc ...
Stable Baselines3 provides reliable open-source implementations of deep reinforcement learning (RL) algorithms in Python. The implementations have been benchmarked against reference codebases, and ...