Deep Reinforcement Learning for Trading: Strategy Development & AutoML
In this guide, we discuss the application of deep reinforcement learning to the field of algorithmic trading.
Deep Reinforcement Learning for Trading with TensorFlow 2.0
In this article we look at how to build a reinforcement learning trading agent with deep Q-learning using TensorFlow 2.0.
Synthetic Financial Data with Generative Adversarial Networks (GANs)
In order to overcome the limitations of data scarcity, privacy, and costs, GANs for generating synthetic financial data may be essential in the adoption of AI.
Introduction to Natural Language Processing (NLP) with Python
In this guide we introduce the core concepts of natural language processing, including an overview of the NLP pipeline and useful Python libraries.
Machine Learning for Finance: Price Prediction with Linear Regression
In this project we'll look at linear regression for price prediction, specifically the relationship between historical data and future price prediction.