Shenggang LiinTowards AIUnderstanding Boosting Algorithms: A Mathematical and Python Implementation GuideA Deep Dive into the Mechanisms of Boosting with Step-by-Step Examples, Leading to the Development of Boosting in Machine Learning6d ago6d ago
Shenggang LiinLevel Up CodingGeneralized Segmentation FrameworkDeveloping Robust Segments Using Comprehensive Clustering AlgorithmsJul 181Jul 181
Shenggang LiinLevel Up CodingCreating Reason Codes for Predictive ModelsUnveiling the “Why” Behind Machine Learning Predictions with Elasticity Analysis and SHAPJul 16Jul 16
Shenggang LiinTowards AIOptimizing Dynamic Pricing with Reinforcement LearningUtilizing DDPG and SHAP for Pricing Strategies in RetailJul 13Jul 13
Shenggang LiinDataDrivenInvestorMaximizing Your Investment: Leveraging the Sharpe Ratio and Data Science for Optimal Stock…A Practical Guide to Combining Financial Acumen and Data Science for Long-Term Investment SuccessJul 42Jul 42
Shenggang LiinTowards AIA Generalized Machine Learning Framework for Time Series ForecastingAdapting Diverse Models to Transform Transactional Data for Predictive AccuracyJul 31Jul 31
Shenggang LiinTowards AIA Novel Retrieval-Augmented Generation with Autoencoder-Transformed EmbeddingsIntegrating NLP Techniques for Optimized Query Representation in LLMsJun 241Jun 241
Shenggang LiinLevel Up CodingExploration of Reinforcement Learning in LLMsUnveiling the Power of RL in LLMs for Interactive Dialogues, Intelligent Retrieval, and DiscoveriesJun 20Jun 20
Shenggang LiChatGPT for Business-Oriented Predictive Models: My Experience as a Data ScientistLeveraging AI Prompts and Interactive Machine LearningJun 17Jun 17
Shenggang LiinTowards AIKolmogorov-Arnold Networks for Mathematical DiscoveryExploring Prime Number Distribution and Predictive Modeling with KAN and Other Mathematical InsightsJun 52Jun 52