Jia

The 72nd edition of Miss Universe, slated as Miss Universe 2023, is right around the corner. This prestigious global beauty pageant is set to unfold in El Salvador’s José Adolfo Pineda Arena on November 18. Recently, though, there may not be a chance for fans to witness Qi Jia, the Chinese representative, compete in the beauty contest. Here's why. Miss Universe China(Instagram) Competing in Miss Universe and representing the entire country is one of the greatest achievements every model dreams of. However, being…

Screenshot: Warner Bros./LegendaryTwo legendary adversaries return to do battle once more, unleashing Titan mayhem on Earth when a new threat arises in Godzilla x Kong: The New Empire.Reservation Dogs | First FandomsThe Monsterverse film is due out next year, picking up right where director Adam Wingard left off with Godzilla vs. Kong. Sure hope the people of Earth don’t mind becoming the official arena of the Titans after Kong and Godzilla had their round one battles that took us from Florida through the center of the …

Time series are everywhere. As data scientists, we have various time series tasks, such as segmentation, classification, forecasting, clustering, anomaly detection, and pattern recognition.Depending on the data and the approaches, feature engineering could be a crucial step in solving those time series tasks. Well-engineered features can help understand the data better and boost models’ performance and interpretability. Feeding raw data to a black-box deep learning network may not work well, especially when data is…

A study of the Augmented Dickey-Fuller (ADF) test from a weird examplePhoto by Jan Huber on UnsplashStationarity is one of the most fundamental concepts for time series analysis. Generally, stationarity will provide excellent properties for modelling the time series with various statistical methods. Augmented Dickey-Fuller (ADF) test is probably the most widely used approach for checking stationarity.There are tons of articles online on this topic. I won’t waste your time on the basic intro, such as the definition of…

How to find the appearance of missing or constant data in many signals quicklyImage by Ana Šparavec from PixabayI like time series. In this post, I’ll continue exploring multivariate time series and introduce a new approach for detecting one kind of particular anomaly. Again, I still use entropy, a simple and powerful tool.Although it depends on the application, we can generally assume we like our time series to be continuous and varying without any missing values. But real-world anomalies could appear because of…

One tip to find regular patterns like sine waves from randomness.Anomaly detection in time series data is a common task in data science. We treat anomalies as data patterns that exist not as expected. Today, let’s focus on detecting anomalies in a special univariate time series generated by a stochastic process.The data should look noisy, chaotic, and random in those stochastic time series. Unexpected changes should be happening all the time. If the value is not changing or changing with a deterministic pattern, something…

How to find time series correlation anomalies with realistic examplesImage by Mediamodifier from PixabayEntropy can separate randomness and certainties. In my previous post on Anomaly detection in univariate stochastic time series with spectral entropy, I show the magic of spectrum entropy. Now we will change the topic to anomaly detections in multivariate time series, and we are still trying to use entropy in the solution.Multivariate time series have N time series variables. Each variable depends not only on its past…

An exploratory data analysis and a simple statistical modelPhoto by Michael Fousert on UnsplashPerforming exploratory data analysis (EDA) and building statistical models are essential skills for data scientists. In this post, I will explore the dataset of Toronto parking tickets. I will analyze and visualize patterns from the time and location perspectives. In the second half of the post, I will present a simple model to evaluate the chance of getting a parking ticket at a specific time and location.This post aims to show…