shashank JainState Space Models and Linear Gates in Time Series PredictionState Space Models (SSMs) have emerged as a powerful tool in the realm of time series analysis and prediction. In this blog post, we’ll…4h ago4h ago
shashank JainUnderstanding Structured State Space Models (SSMs) for Time SeriesStructured State Space Models (SSMs) are a powerful tool in the field of deep learning, offering an efficient way to model sequential data…7h ago7h ago
shashank JaininGoPenAIUnderstanding Recommendation Systems: From SVD to Neural Collaborative FilteringIntroduction:21h ago21h ago
shashank JaininAI MindUnderstanding Gaussian Processes: From Theory to Stock Price PredictionPart 1: Introduction to Gaussian Processes23h ago23h ago
shashank JaininGoPenAIDecoding Market Sentiment: A Deep Dive into Volume-Based Indicators and Forecasting using Machine…In the complex world of stock market analysis, price movements tell only part of the story. To gain a fuller picture of market dynamics…1d ago1d ago
shashank JaininGenerative AIFourier Decomposition and Diffusion Models in Image ProcessingIn the domain of image processing and computer vision, understanding the fundamental concepts of frequency analysis and advanced machine…1d ago1d ago
shashank JaininAI MindHybrid Transformer Decoder with Kolmogorov-Arnold Network (KAN) Activation for Time Series…What are KANs?1d ago1d ago
shashank JaininAI MindTransformer Decoder for Stock Price Prediction: Leveraging Time Series Decomposition and Attention…What are we trying to propose here?1d ago1d ago
shashank JaininAI MindCombining MCTS and Reinforcement LearningIntroduction to MCTS and Reinforcement Learning2d ago2d ago