PinnedNikos KafritsasinTowards Data ScienceTime-Series Forecasting: Deep Learning vs Statistics — Who Wins?A comprehensive guide on the ultimate dilemmaApr 5, 202316Apr 5, 202316
PinnedNikos KafritsasinTowards Data ScienceN-BEATS : Time-Series Forecasting with Neural Basis ExpansionA Deep Learning model that provides accuracy and interpretabilityNov 25, 20223Nov 25, 20223
PinnedNikos KafritsasinTowards Data ScienceTemporal Fusion Transformer: Time Series Forecasting with Deep Learning — Complete TutorialCreate accurate & interpretable predictionsNov 5, 202227Nov 5, 202227
PinnedNikos KafritsasinTowards Data ScienceThe Best Deep Learning Models for Time Series ForecastingEverything you need to know about Time Series and Deep LearningDec 20, 202112Dec 20, 202112
PinnedNikos KafritsasinTowards Data ScienceTemporal Fusion Transformer: Time Series Forecasting with InterpretabilityGoogle’s state-of-the-art Transformer has it allNov 23, 202111Nov 23, 202111
Nikos KafritsasinDataDrivenInvestorMOIRAI: Zero-Shot Forecasting Without TrainingHow can a model forecast time series data without being trained?Aug 23Aug 23
Nikos KafritsasinTowards Data ScienceWill Transformers Revolutionize Time-Series Forecasting?With data from industry, academia, and leading researchersJul 314Jul 314
Nikos KafritsasinTowards Data ScienceExploring the Latest Advances in Foundation Time-series ModelsFast and accurate forecasting of new data — without trainingJul 175Jul 175
Nikos KafritsasinTowards Data ScienceTiny Time Mixers (TTM): A Powerful Zero-Shot Forecasting Model by IBMA new lightweight open-source foundation modelJun 83Jun 83
Nikos KafritsasinTowards Data ScienceMOMENT: A Foundation Model for Time Series Forecasting, Classification, Anomaly DetectionA unified model that covers multiple time-series tasksApr 274Apr 274