The author presents a rapidly convergent algorithm to solve the general portfolio problem of maximizing concave utility functions subject to linear constraints. The algorithm is based on an iterative ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...

Tyler Lacoma has spent more than 10 years testing tech and studying the latest web tool to help keep readers current. He's here for you when you need a how-to guide, explainer, review, or list of the ...

One fact about machine learning and data algorithms that may surprise business users is that there aren’t actually that many of them. This topic can get overwhelming for busy professionals. But in ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Matching orders is the process by which a securities exchange pairs one or more ...

The Lamport algorithm for generating and applying one-time passwords (OTPs) is a simple solution that provides great value in the right context. Not only can the Lamport OTP scheme provide effective ...

Taking inspiration from the way humans seem to learn, scientists have created AI software capable of picking up new knowledge in a far more efficient and sophisticated way. Fig. 1. People can learn ...