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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 ...
In this video, we delve into the fascinating world of big number multiplication and explore how computers perform this task ...
Spotware, the developer of the cTrader multi-asset trading platform has launched an essential update with the introduction of ...
Computer coding genius George Hotz asks the Mistral 7B model to make the Q* algorithm in python and run it.
In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...
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.
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) .
We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy, in particular) that do all the hard work.