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Modern Portfolio Theory, Monte Carlo Simulations & CVaR for Smarter Investment Decisions
Maximize Returns and Minimize Risks Using Advanced Financial Modeling Techniques
Oct 5
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Ali Atiah Alzahrani
September 2024
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…
Sep 30
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Ali Atiah Alzahrani
July 2024
LLMs vs. Human Mind: Understanding the Creativity Gap.
Exploring What Sets Human Imagination Apart from LLMs and AI's Logic.
Jul 19
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Ali Atiah Alzahrani
November 2023
RAG, REALM, RETRO & Beyond: The Evolution of Retrieval-Augmented Models
Breaking Down the Basics: A Simple Guide to RAG, REALM, and RETRO AI Models.
Nov 12, 2023
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Ali Atiah Alzahrani
August 2023
Connecting Stochastic Calculus and Deep Learning in Finance
One Way to Explore the Magic of Combining Fields for Better Understanding
Aug 1, 2023
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Ali Atiah Alzahrani
May 2023
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.
May 2, 2023
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Ali Atiah Alzahrani
September 2022
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…
Sep 19, 2022
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Ali Atiah Alzahrani
June 2022
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…
Jun 29, 2022
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Ali Atiah Alzahrani
April 2022
Supervised vs Unsupervised Machine Learning: What's the Difference?
Machine learning is a powerful tool that has revolutionized many industries.
Apr 16, 2022
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Ali Atiah Alzahrani
Predicting Market Risk using Machine Learning: A Comparative Analysis of SVM, Random Forest, and Gradient Boosting Algorithms
Exploring the Performance of SVM, Random Forest, and Gradient Boosting in Predicting Market Risk with Machine Learning.
Apr 16, 2022
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Ali Atiah Alzahrani
Time Series Forecasting, NLP, CVaR, and GARCH to Manage Market Risk
Combining Advanced Techniques: How to Build a Market Risk Management Tool using Time Series Forecasting, NLP, CVaR, and GARCH
Apr 8, 2022
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Ali Atiah Alzahrani
March 2022
The Basics of Python: SciKit-Learn
Scikit-learn is a Python library that is widely used for machine learning tasks such as classification, regression, and clustering.
Mar 6, 2022
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Ali Atiah Alzahrani
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