Ning JiainTowards AIUnlocking Fuel Savings Through Data ScienceAn Observational Analysis of Maintenance Strategies in Truck Fleet OperationsJul 9Jul 9
Ning JiainTowards Data ScienceFrom Evaluation to Enlightenment: Delving into Out-of-Sample Predictions in Cross-ValidationUncovering Insights and Overcoming Limitations through Out-of-Fold Predictions.Jun 28, 2023Jun 28, 2023
Ning JiainTowards AIModelling Manufacturing Data Using Markov ChainsMarkov process, despite its simplicity, continues to find practical uses with real-world manufacturing datasets.Feb 28, 2023Feb 28, 2023
Ning Jia5 Approaches to Impute Missing Data in Time SeriesMissing data is a common problem in real-world datasets. If you’ve ever wondered how to impute missing values in time series data…Jan 10, 2023Jan 10, 2023
Ning JiainTowards Data ScienceSpectral Entropy — An Underestimated Time Series FeatureI show how spectral entropy helped me solve two time series classification problems.Dec 7, 20224Dec 7, 20224
Ning JiainTowards Data ScienceWhy Is This Trending Time Series Stationary?A study of the Augmented Dickey-Fuller (ADF) test from a weird exampleNov 5, 20222Nov 5, 20222
Ning JiainTowards Data ScienceA new application of structural entropy for multivariate time series anomaly detectionHow to find the appearance of missing or constant data in many signals quicklyOct 14, 20221Oct 14, 20221
Ning JiainTowards Data ScienceAnomaly Detection for Multivariate Time Series with Structural EntropyHow to find time series correlation anomalies with realistic examplesSep 14, 20223Sep 14, 20223
Ning JiainTowards Data ScienceWhat are the odds of getting a parking ticket in Toronto?An exploratory data analysis and a simple statistical modelJul 15, 20222Jul 15, 20222
Ning JiainTowards Data ScienceAnomaly Detection in Univariate Stochastic Time Series with Spectral EntropyOne tip to find regular patterns like sine waves from randomness.Jun 8, 20226Jun 8, 20226