Crystal XCan you predict the price of bitcoin using a linear regression model?This may very well be my last post on predicting bitcoin prices (for a while anyway) becauseIi have covered several different models that…May 21, 20241May 21, 20241
InDataman in AIbyChris Kuo/Dr. DatamanA Tutorial on the Open-source Lag-Llama for Time Series ForecastingThe open-source time series foundational model Lag-Llama [1] came on the A.I. stage shortly after the open-source large language model…Mar 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
Chris Kuo/Dr. DatamanDeep Learning-based DeepAR for Time Series Probabilistic ForecastingReal-world applications bring forth innovations for time series forecasting. Here let’s consider two use cases. An electricity company…May 4, 2024May 4, 2024
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 ForecastingWe need the weather forecasts for a week to plan trips. A manufacturer needs forecasts for several months to plan and coordinate with…May 1, 20241May 1, 20241
Chris Kuo/Dr. DatamanFeature Engineering for Tree-based Time Series ModelsIn around 2020s, there was a series of prize competitions for time series forecasting called the M competition, hosted by the International…May 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 PredictionsWe shop at retail businesses like Walmart, Target, and Best Buy. We buy from department stores like Macy’s, Nordstrom, and Sears. We visit…Apr 18, 20244Apr 18, 20244
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
InTDS ArchivebyMarina 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
