Skip to content
OnData.blog

OnData.blog

Menu

  • Articles
  • About & Contact
  • Linkedin
  • Facebook
  • twitter
  • RSS

anomaly detection

How to tell anomalies in data drift

In this article I tackle the following problem: how to define and distinguish anomalies (spikes, peaks, and outliers in data) in real-life, production situations. Typically, the data drift results in the absence of a reference level. Since we do not

Pawel Plaszczak February 22, 2021February 23, 2021 Articles No Comments Read more

Recent Posts

  • Porting PyTorch neural network to Amazon AWS June 30, 2022
  • Porting pyTorch cloud detection model to Amazon AWS S3 June 17, 2022
  • pushing data to AWS. SageMaker sucks. So does Anaconda June 14, 2022
  • Linear Regression: Killer App with 19-century maths January 19, 2022
  • Democratization of statistics: Chi2 for non-experts January 12, 2022
  • An approach to categorize multi-lingual phrases December 15, 2021
  • The implications of Scikit-learn bug #21455 November 29, 2021
  • Your model may be inaccurate November 25, 2021
  • Answering Why (with Chi-Square) November 19, 2021
  • What makes Data Quality so difficult November 8, 2021
Copyright © 2023 OnData.blog. Powered by WordPress. Theme: Spacious by ThemeGrill.