Reinforcement Learning-Driven Adaptive Model Selection and Blending for Supervised Learning
Author(s): Shenggang Li Originally published on Towards AI. Inspired by Deepseeker: Dynamically Choosing and Combining ML Models for Optimal Performance This member-only story is on us. Upgrade to access all of Medium. Photo by Agence Olloweb on Unsplash Machine learning model selection …
Event-Driven Prediction: Expanding Mamba State Space Models for Conditional Forecasting
Author(s): Shenggang Li Originally published on Towards AI. A Novel Approach Combining Markov Decision Theory and Neural State Space Models for Stock Price Prediction This member-only story is on us. Upgrade to access all of Medium. Photo by Ella Jardim on Unsplash …
Unlocking the Potential of Meta LLaMA: A Deep Dive into Its Design, Architecture, and Applications
Author(s): Shenggang Li Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Dima Solomin on Unsplash Let’s explore Meta’s LLaMA, one of the coolest and most powerful language models. If you’ve ever …
Bayesian State-Space Neural Networks (BSSNN): A Novel Framework for Interpretable and Probabilistic Neural Models
Author(s): Shenggang Li Originally published on Towards AI. Integrating Bayesian Theory, State-Space Dynamics, and Neural Network Structures for Enhanced Probabilistic Forecasting This member-only story is on us. Upgrade to access all of Medium. Photo by Planet Volumes on Unsplash When building supervised …
Advancing Time Series Forecasting: A Comparative Study of Mamba, GRU, KAN, GNN, and ARMA Models
Author(s): Shenggang Li Originally published on Towards AI. Evaluating Modern and Traditional Methods for Multivariate Time Series Prediction This member-only story is on us. Upgrade to access all of Medium. Photo by Chiara Maretti on Unsplash Imagine trying to predict how a …
Decoding Ponzi Schemes with Math and AI
Author(s): Shenggang Li Originally published on Towards AI. Experiments in Action: Unveiling Hidden Trends in Stocks and Markets Using Mamba Neural Networks This member-only story is on us. Upgrade to access all of Medium. Photo by Guenifi Ouassim on Unsplash Imagine this: …
Graph Neural Networks: Unlocking the Power of Relationships in Predictions
Author(s): Shenggang Li Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Exploring the Concepts, Types, and Real-World Applications of GNNs in Feature Selection, Economic Forecasting, and Stock Prediction Photo by Thom Milkovic on …
Reimagining GANs: Bridging Statistics and Variance Regularization
Author(s): Shenggang Li Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. From Logistic Regression to Variance-Regularized GANs: Enhancing Generative Modeling for Tabular Data Photo by USGS on Unsplash Generative Adversarial Networks (GANs) have …
Kolmogorov-Arnold Networks: Exploring Dynamic Weights and Attention Mechanisms
Author(s): Shenggang Li Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. A Step-by-Step Guide to KAN, Dynamic Weight Adjustments, and Their Relationship to Attention Mechanisms: Investigating the Attention in KAN and Proposing Attention-KAN …
Modeling Digital Coin Trends
Author(s): Shenggang Li Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Leveraging Attention Neural Networks to Analyze Competition, Regulation, and Market Trends Photo by Traxer on Unsplash Are you curious about digital coins …
Step-by-Step Exploration of Transformer Attention Mechanisms
Author(s): Shenggang Li Originally published on Towards AI. A Practical Walkthrough of Training Transformer Models with Insights into Positional Encoding and Its Role in Attention Dynamics This member-only story is on us. Upgrade to access all of Medium. Photo by Abiyyu Zahy …
PCA and Neural Networks: Bridging Linear Autoencoders, Non-Linear Extensions, and Attention Mechanisms
Author(s): Shenggang Li Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Exploring PCA’s Role in Autoencoders and Attention through Mathematical Proofs and Innovations Photo by Andrey Metelev on Unsplash Did you know that …
Decoding Latent Variables: Comparing Bayesian, EM, and VAE Approaches
Author(s): Shenggang Li Originally published on Towards AI. A Deep Dive into Mathematical Foundations, A/B Testing Applications, and Choosing the Right Method for Your Data Challenges. This member-only story is on us. Upgrade to access all of Medium. Photo by Khara Woods …
Empirical Techniques for Enhanced Predictive Modeling: Beyond Traditional ARMA
Author(s): Shenggang Li Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. A Non-Parametric Approach for Robust Forecasting and Data Analysis Across Domains Photo by XinYing Lin on Unsplash The ARMA model is a …
Exploring Causal Decision Theory Approach with Quantile Regression
Author(s): Shenggang Li Originally published on Towards AI. Using AI and Causal Decision Theory to Prioritize Restocking: Balancing Demand, Inventory Risk, and Product Importance This member-only story is on us. Upgrade to access all of Medium. Photo by Louis Hansel on Unsplash …
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