Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
IEEE

Constrained Evolutionary Bayesian Optimization for Expensive Constrained Optimization Problems With Inequality Constraints

Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...
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 ...
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, ...
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 ...
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 ...
Time

Fighting Florida’s Invasive Python Problem One Step at a Time

Despite miles of ground covered as we drove through the Everglades under the cover of darkness, it was impossible to ignore the fact that we hadn’t spotted a single mammal. The expansive wetlands in ...