fg-researchForecasting stock returns with liquid neural networks using the CfC SageMaker AlgorithmStock return forecasting has been extensively studied by both academic researchers and industry practitioners. Numerous machine learning…8h ago
Jonte DanckerinTowards Data ScienceN-HiTS — Making Deep Learning for Time Series Forecasting More EfficientA deep dive into how N-HiTS works and how you can use itMay 301
Palash MishraPredicting Time Series Data with Machine Learning, Generative AI, and Deep LearningTime series data prediction is a critical aspect of various industries, ranging from finance and healthcare to marketing and logistics. The…Jun 193Jun 193
Marco CerlianiinTowards Data ScienceTime Series Forecasting in the Age of GenAI: Make Gradient Boosting Behaves like LLMsApplying zero-shot forecasting with standard machine learning models3d ago13d ago1
Jonte DanckerinTowards Data ScienceN-BEATS — The First Interpretable Deep Learning Model That Worked for Time Series ForecastingAn easy-to-understand deep dive into how N-BEATS works and how you can use it.May 113May 113
fg-researchForecasting stock returns with liquid neural networks using the CfC SageMaker AlgorithmStock return forecasting has been extensively studied by both academic researchers and industry practitioners. Numerous machine learning…8h ago
Jonte DanckerinTowards Data ScienceN-HiTS — Making Deep Learning for Time Series Forecasting More EfficientA deep dive into how N-HiTS works and how you can use itMay 301
Palash MishraPredicting Time Series Data with Machine Learning, Generative AI, and Deep LearningTime series data prediction is a critical aspect of various industries, ranging from finance and healthcare to marketing and logistics. The…Jun 193
Marco CerlianiinTowards Data ScienceTime Series Forecasting in the Age of GenAI: Make Gradient Boosting Behaves like LLMsApplying zero-shot forecasting with standard machine learning models3d ago1
Jonte DanckerinTowards Data ScienceN-BEATS — The First Interpretable Deep Learning Model That Worked for Time Series ForecastingAn easy-to-understand deep dive into how N-BEATS works and how you can use it.May 113
Jonte DanckerinTowards Data ScienceWhy You (Currently) Do Not Need Deep Learning for Time Series ForecastingWhat you need instead: Learnings from the Makridakis M5 competitions and the 2023 Kaggle AI reportJun 2011
Anshul DadhwalTime Series Forecasting with LSTM NetworksIn the final year of my software engineering degree, I embarked on a personal project to gain more hands-on experience, which led me down…1d ago
Haden PelletierinTowards Data ScienceCyclical Encoding: An Alternative to One-Hot Encoding for Time Series FeaturesCyclical encoding provides your model with the same information using significantly fewer featuresMay 33
