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InDataman in AIbyChris Kuo/Dr. DatamanA Tutorial on the Open-source Lag-Llama for Time Series ForecastingSample eBook chapters (free): https://github.com/dataman-git/modern-time-series/blob/main/20240522beauty_TOC.pdfMar 20, 20242Mar 20, 20242
InDataman in AIbyChris Kuo/Dr. DatamanFrom RNN/LSTM to Temporal Fusion Transformers and Lag-Llamafrom RNN to sequence to sequence learningMar 17, 2024Mar 17, 2024
InDataman in AIbyChris Kuo/Dr. DatamanApplication: Amazon’s DeepAR for Stock ForecastsMar 7, 2024Mar 7, 2024
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InDataman in AIbyChris Kuo/Dr. DatamanThe Progression of Time Series Modeling TechniquesFrom simple linear regression to complex deep learning models in time seriesMar 6, 20244Mar 6, 20244
InDataman in AIbyChris Kuo/Dr. DatamanTree-based XGB, LightGBM, and CatBoost Models for Multi-period Time Series Probabilistic…Sample eBook chapters (free): https://github.com/dataman-git/modern-time-series/blob/main/20240522beauty_TOC.pdfApr 6, 2024Apr 6, 2024
Chris Kuo/Dr. DatamanTwo Primary Strategies for Multi-period Time Series ForecastingSample eBook chapters (free): https://github.com/dataman-git/modern-time-series/blob/main/20240522beauty_TOC.pdfMay 1, 20241May 1, 20241
Chris Kuo/Dr. DatamanFeature Engineering for Tree-based Time Series ModelsSample eBook chapters (free): https://github.com/dataman-git/modern-time-series/blob/main/20240522beauty_TOC.pdfMay 1, 20244May 1, 20244
InDataman in AIbyChris Kuo/Dr. DatamanAutoregressive Linear Models for Multi-period Probabilistic ForecastingLinear regression models, not surprisingly, can do a point estimate for time series. We have built many autoregressive models in Automatic…Apr 6, 20243Apr 6, 20243
InDataman in AIbyChris Kuo/Dr. DatamanAutomatic ARIMA!Automatic model selection and multi-step forecastingJan 25, 20243Jan 25, 20243
InDataman in AIbyChris Kuo/Dr. DatamanQuantile Regression for Time Series Probabilistic ForecastingWe often hear “the only thing that is certain is that nothing is certain.” We do not like uncertainty. We do not want to hear “tomorrow’s…Apr 5, 20244Apr 5, 20244
InDataman in AIbyChris Kuo/Dr. DatamanMonte Carlo Simulation for Time Series Probabilistic ForecastingIts application on stock market pricesMar 15, 20246Mar 15, 20246
InDataman in AIbyChris Kuo/Dr. DatamanModern Time Series Forecasting: For Predictive Analytics and Anomaly Detection — NeuralProphet (II)A powerful tool for time series forecastingJan 9, 20241Jan 9, 20241
InDataman in AIbyChris Kuo/Dr. DatamanModern Time Series Forecasting: For Predictive Analytics and Anomaly Detection — NeuralProphet (I)A Powerful Tool for Time Series ForecastingJan 9, 20242Jan 9, 20242
InAnalytics VidhyabyChris Kuo/Dr. DatamanBusiness Forecasting with Facebook’s “Prophet”What’s behind The Scene?Mar 2, 20201Mar 2, 20201
InDataman in AIbyChris Kuo/Dr. DatamanModern Time Series Forecasting: For Predictive Analytics and Anomaly Detection — (1)…Unveiling the Evolution of Time Series TechniquesApr 24, 20241Apr 24, 20241
InDataman in AIbyChris Kuo/Dr. DatamanTemporal Fusion Transformer for Interpretable Time Series PredictionsSample eBook chapters (free): https://github.com/dataman-git/modern-time-series/blob/main/20240522beauty_TOC.pdfApr 18, 20243Apr 18, 20243
InDataman in AIbyChris Kuo/Dr. DatamanConformalized Quantile Regression for Time Series Probabilistic ForecastingSample eBook chapters (free): https://github.com/dataman-git/modern-time-series/blob/main/20240522beauty_TOC.pdfApr 12, 20241Apr 12, 20241
InTowards Data SciencebyMarina GandlinRecommender Systems: Exploiting Multi-Categorical Features Using Deep InterestHow can your deep learning model get the most out of array features with varying length?Sep 4, 2019Sep 4, 2019
