Peter Foy

Peter Foy

76 posts
Natural Language Processing
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Naive Bayes for Sentiment Analysis & Natural Language Processing (NLP)

Peter Foy
Peter Foy
In this article on natural language processing, we discuss how to use the Naive Bayes formula for the purpose of sentiment analysis.…
Reinforcement Learning
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Deep Reinforcement Learning for Trading: Strategy Development & AutoML

Peter Foy
Peter Foy
In this guide, we discuss the application of deep reinforcement learning to the field of algorithmic trading.…
Natural Language Processing
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Natural Language Processing (NLP) for Sentiment Analysis with Logistic Regression

Peter Foy
Peter Foy
In this article, we discuss how to use natural language processing and logistic regression for the purpose of sentiment analysis.…
Reinforcement Learning
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Deep Reinforcement Learning for Trading with TensorFlow 2.0

Peter Foy
Peter Foy
In this article we look at how to build a reinforcement learning trading agent with deep Q-learning using TensorFlow 2.0.…
Quantitative Finance
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Introduction to Markowitz Portfolio Optimization and the Efficient Frontier

Peter Foy
Peter Foy
In this article, we discuss two key concepts in portfolio optimization: Markovitz optimization and the Efficient Frontier.…
Quantitative Finance
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Introduction to Portfolio Construction and Analysis: Risk & Returns

Peter Foy
Peter Foy
In this article, we'll introduce key concepts of risk and return in portfolio analysis, including Value-at-Risk, Conditional Value-at-Risk, and more.…
Reinforcement Learning
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Deep Reinforcement Learning: Guide to Deep Q-Learning

Peter Foy
Peter Foy
In this article we cover an important topic in reinforcement learning: Q-learning and deep Q-learning.…
Generative Models
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Introduction to Conditional GANs (cGANs) & Controllable Generation

Peter Foy
Peter Foy
In this guide, we discuss two types of GANs that allow you to control the output of the model: conditional GANs (cGANs) and controllable generation.…
Python for Finance
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Python for Finance: Data Visualization

Peter Foy
Peter Foy
Data visualization is an essential step in quantitative analysis. In this guide we introduce the most popular data visualization libraries in Python.…
Generative Models
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Introduction to Wasserstein GANs with Gradient Penalty

Peter Foy
Peter Foy
In this article, we discuss the Wasserstein loss function for Generative Adversarial Networks (GANs), which solves a common issue that arises during the training process.…