In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...

Hands-On Genetic Algorithms with Python by Eyal Wirsansky is a new book which explores the world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine ...

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 ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

As a Python library for machine learning, with deliberately limited scope, Scikit-learn is very good. It has a wide assortment of well-established algorithms, with integrated graphics.

The Cython library in Python lets you write Python code and convert it to C for speed, using C types for variables. Those variables can include NumPy arrays, so any Cython code you write can work ...