Ning

Kate Chenli’s debut YA novel arrives in October, and I don’t think anyone would mind if you judged this book on its cover, because the cover is absolutely stunning. A Bright Heart is inspired by wuxia storytelling tropes and takes us on a journey of revenge, reincarnation, and court intrigue. Does Charlie Have a Kryptonite to Her Power?After Mingshin is betrayed by the man she loves—the man she made king—she prays that the gods give her a chance to avenge herself. When she wakes up two years before she’s murdered, she…

Image: Ivan Marc (Shutterstock)China accused the U.S. of stealing its technological autonomy in a press conference on Monday, Reuters reported. Spokesperson Mao Ning claimed that by imposing various TikTok bans, “the U.S. is trying to deprive it of developmental rights and perpetuate its own hegemony,” the outlet wrote.Ning has spoken out against the U.S. following TikTok bans and crackdowns on technology produced within China, even as the country carries a “stunning lead” in the technology sector.In a press conference…

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…