Jun WangPredicting anomalies using AutoAI Time Series APIDetecting anomalies, or outliers, in a series of data points recorded over time is known as time series anomaly detection. It is a key…Apr 6, 2023Apr 6, 2023
Jun WangForecasting PM2.5 using AutoAI time series API with supporting featuresAutoAI in IBM Cloud Pak for Data as a Service has recently introduced a new feature for time series data — supporting features, also known…Jul 29, 2022Jul 29, 2022
Jun WangYou know how the outcome was produced — Transparency in AutoAITransparency is now a fundamental principle and a necessary condition for trust and eventually for judging AI to be trustworthy. Without…Jul 13, 2022Jul 13, 2022
Jun WangForecasting min temperatures with AutoAI missing imputationIn the real world, missing values are ubiquitous, especially for time series data. E.g. for industry IoT data, such as manufacturing…Jun 20, 2022Jun 20, 2022