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This repository contains Python implementations of common unconstrained optimization algorithms: Steepest Descent and Newton's Method, along with several variants. The algorithms are tested on ...
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Logistic Regression Explained with Gradient Descent — Full Derivation Made Easy! - MSNStruggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine ...
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We devise a novel quasi-Newton algorithm for solving unconstrained convex optimization problems. The proposed algorithm is built on our previous framework of the iteratively preconditioned ...
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