Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

Abstract: The mean and variance of portfolio returns are the standard quantities to measure the expected return and risk of a portfolio. Efficient portfolios that provide optimal trade-offs between ...

A useful toolkit provides multiple ways to tackle a task. Similarly, a diversified portfolio that holds a variety of assets—stocks, bonds, cash, and more—allows you to cope with volatile markets while ...

Abstract: Since the introduction of Modern Portfolio Theory (MPT) in 1952, its practical applications, associated challenges, and computational efficiency on large and high-frequency datasets, ...