Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
Deep Learning with Yacine on MSN

How to implement stochastic gradient descent with momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
IEEE

Vertex Cover of Networks and Its Related Optimization Problems: An Overview

Abstract: As a well-known NP-hard problem, the vertex cover problem has broad applications, which has aroused the concern of many researchers. In recent years, its related optimization problems, ...
New York Post

Florida solves invasive python problem by transforming apex predators into A-list leather goods

The Florida government is ridding the Everglades of invasive pythons by allowing fashion brans to turn them into luxury accessories. Inverse Leathers Shopping will now save the planet. Florida ...
WESH

'Python Be Gone': Gov. DeSantis shares efforts in place to solve Florida python problem

The governor held a press conference on Monday where he highlighted the success of a public-private partnership aimed at removing Pythons from Florida's Everglades.Gov. Ron DeSantis shared the success ...
The New York Times

5 Steps to Solve (Almost) Any Problem

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...
GitHub

PyPRS: A Python Software Package for Parallel Ranking and Selection Procedures

PyPRS is a Python software package specifically developed to solve large-scale ranking and selection (R&S) problems in parallel computing environments. The underlying parallel computing framework is ...
IEEE

Multiparty Multiobjective Optimization for Dynamic Multimodal Optimization Problems

Abstract: The challenge of dynamic multimodal optimization problems (DMMOPs) lies in tracking multiple global or locally acceptable optimal solutions in environments that change over time. Typically, ...
GitHub

Multi-Factorial Evolutionary Algorithm With Online Transfer Parameter Estimation (MFEA-II) in Python

This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...