Time Series Classification with Neural Network using Random Sub Sequence Statistics as Features

By |2024-02-15T11:57:21+00:00February 15th, 2024|Machine Learning|

Time Series Classification with Neural Network using Random Sub Sequence Statistics as Features Deep Learning models generally extract features in the early layers of the network. It does away with the need for manual feature [...]

Pricing Policy Evaluation and Comparison with Temporal Difference Learning

By |2023-09-26T13:53:23+00:00August 3rd, 2022|Artificial Intelligence, Machine Learning, Most Popular, Python|

There are two main kinds of problems in Reinforcement Learning (RL), evaluation of a policy aka the prediction problem and finding the best policy aka the control problem. A policy dictates the action to be taken given [...]

GAN Models

By |2022-07-04T16:32:21+00:00June 27th, 2022|Machine Learning, Technologies|

Generative Adversarial Network (GAN) A generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete with each other to become more accurate in their predictions. GANs typically run [...]