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1. Hands-on Time Series Anomaly Detection using Autoencoders, with Python

   Learn how to use Autoencoders to detect anomalies in time series data in a few lines of code.

   2024-08-21 Tags: time series, anomaly detection, autoencoders, python, machine learning, data analysis, production engineering, observatability by klotz
2. Stumpy: A Powerful and Scalable Python Library for Modern Time Series Analysis

   Stumpy is a Python library designed for efficient analysis of large time series data. It uses matrix profile computation to identify patterns, anomalies, and shapelets. Stumpy leverages optimized algorithms, parallel processing, and early termination to significantly reduce computational overhead.

   2024-08-01 Tags: time series, stumpy, data analysis, python, machine learning, pattern recognition, anomaly detection, production engineering by klotz
3. Running Timeseries Anomaly Detection at Scale on SQL Data | by Sachin Bansal | Aug, 2021 | Towards Data Science

   2021-08-28 Tags: time series, anomaly detection, facebook prophet, spark, python by klotz
4. Prophet: forecasting at scale – Facebook Research

   2018-09-14 Tags: facebook, time-series, forecasting, deep learning, anomaly detection, python by klotz
5. How to Create an ARIMA Model for Time Series Forecasting in Python

   2018-09-14 Tags: arima, anomaly detection, forecasting, python, time series by klotz
6. tsfresh/README.md at master · blue-yonder/tsfresh · GitHub

   2016-10-30 Tags: anomaly detection, python, time series by klotz

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