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Integrating Momentum, Reversal, Volatility, and Earnings Surprise: Building a Multi-Factor Alpha Strategy in Python
Integrating Momentum, Reversal, Volatility, and Earnings Surprise: Building a Multi-Factor Alpha Strategy in Python Combining Momentum and Volatility…
 • Ali Atiah Alzahrani
LLMs vs. Human Mind: Understanding the Creativity Gap.
Exploring What Sets Human Imagination Apart from LLMs and AI's Logic.
 • Ali Atiah Alzahrani
RAG, REALM, RETRO & Beyond: The Evolution of Retrieval-Augmented Models
Breaking Down the Basics: A Simple Guide to RAG, REALM, and RETRO AI Models.
 • Ali Atiah Alzahrani
Connecting Stochastic Calculus and Deep Learning in Finance
One Way to Explore the Magic of Combining Fields for Better Understanding
 • Ali Atiah Alzahrani
Moving Beyond Language Models: Why Deep Reinforcement Learning is Key to Achieving AGI
Moving Beyond Pre-Trained Models and Fostering Independent Thought through Deep Reinforcement Learning, with DRL example.
 • Ali Atiah Alzahrani
Customizing Deep Neural Networks with TensorFlow: Creating a Custom Layer
In this post, we will explore how to create a custom layer in TensorFlow, which can be useful when we need to add a specific functionality that is not…
 • Ali Atiah Alzahrani
Quantifying the Uncertainty in Deep Bayesian Q-Networks for Robust Decision Making
Deep Q-Networks (DQN) are a powerful class of reinforcement learning algorithms that have been successfully used in various applications, such as…
 • Ali Atiah Alzahrani
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