We had our first taste of the problem with mean-variance optimization at a hedge fund some years back. We loaded the positions into an optimizer, pressed the button, and discovered 25% of the ...

Global optimisation stands as a pivotal discipline in applied mathematics and engineering, providing robust methodologies for determining the absolute best solution among myriad local optima. Recent ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...

Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a bio-inspired optimization technique called differential ...

Optimizing the performance of operational databases and the applications that access them is a constant battle for DBAs. Of course, writing efficient SQL is the most important aspect of ensuring ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Learn how to optimize JVM and JIT compiler performance for better execution speed, memory usage, and resource utilization in your Java applications—and how to check your results. JVM optimization ...