RAVINDRA SADAPHULE·Sep 28Building the Hill-Climbing MachineAn enterprise perspective on why ontologies, semantic models, knowledge graphs and continuous online evaluation in an AI learning loop is…
Omar Hijazi·Jul 18Code Is Free. Now What?There’s a consensus quietly forming across the software industry, and it’s the kind that sounds like hype until you sit with it: the…
Cobus Greyling·Jul 7Hill ClimbingTaking learning signal to make targeted, incremental improvements to an agent’s harness.
Muhammad Shazil Khan·Aug 30, 2025The Idea Behind Gradient Descent In Machine LearningGradient Descent is one of the most well-known algorithms in Machine Learning, but instead of just memorizing its formula, it’s important…
InMirko Peters — Data & Analytics BlogbyMirko Peters - Microsoft MVP·Jan 23, 2025A Personal Journey Through AlgorithmsExplore the fascinating journey of optimization techniques through the lens of steepest ascent hill climbing. This post navigates the…
InTDS ArchivebyW Brett Kennedy·Jan 14, 2025Using Optimization to Solve Adversarial ProblemsAn example of simultaneously optimizing two policies for two adversarial agents, looking specifically at the cat and mouse game.
Emircan Akyuz | AI & RPA Developer·Nov 17, 2024Zirvenin Bir Adım Gerisinde: Hill Climbing AlgoritmasıHill Climbing Algoritması ve NQueens Problemi
InTDS ArchivebyW Brett Kennedy·Nov 10, 2024Solving the classic Betting on the World Series problem using hill climbingA simple example of hill climbing — and solving a problem that’s difficult to solve without optimization techniquesA response icon5A response icon5
