Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally stimulating activity—review the squares, jot down a few potential answers, scan ...

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines the benefits of momentum and RMSProp, and how it updates weights efficiently ...

Google Ads is introducing new user interface (UI)-only image optimization features, spotted last week, aimed at enhancing Performance Max campaigns, marking a shift in how advertisers can manage ...

Google’s AI-powered match type Search Max is rolling out to more accounts, bringing automated ad optimization to Search campaigns. How it works: Why we care. Search Max aims to increase conversions by ...

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 ...

This repository implements and compares various approaches to solve the Traveling Salesman Problem (TSP), including exact methods, heuristics, metaheuristics, and matheuristics. The project is written ...

Vehicle Routing Problem with Backhaul (VRPB); Open vehicle routing problem; Lagrangian decomposition; Lagrangian relaxation algorithm; Clustering algorithm; CPLEX optimization solver; Python ...

Abstract: Max-min and max-product compositions are commonly utilized to optimize a linear objective function subject to fuzzy relational equations. Both are members in the class of max-t-norm ...