In the last 18 months, the term "AI Engineer" has evolved from a niche job title to one of the most sought after and misunderstood roles in technology. I get DMs every week asking: "I want to break ...

This paper presents the Secant Optimization Algorithm (SOA), a novel mathematics-inspired metaheuristic derived from the Secant Method. SOA enhances search efficiency by repeating vector updates using ...

This repository contains my solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/23. There are many other great repositories on ...

Eshkol is a Scheme-based programming language that unifies functional programming with native automatic differentiation, providing a mathematically rigorous foundation for gradient-based optimization, ...

Does calculus play a role in analyzing financial markets and predicting stock prices? The short answer is yes. Calculus is a powerful tool used by financial analysts, traders, and quants to make ...

Lecture slides for the current lecture will be posted at least one hour prior to that class. Videos will be posted within one day of the end of lecture.

Differential evolution (DE) is a robust optimizer designed for solving complex domain research problems in the computational intelligence community. In the present work, a multi-hybrid DE (MHDE) is ...

Fractional differential equations can model various complex problems in physics and engineering, but there is no universal method to solve fractional models precisely. This paper offers a new hope for ...

Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...

All through human civilization, optimization has played a major role, from aerodynamics to airline scheduling, delivery routing, and telecommunications decoding. Optimization is receiving increasing ...