diff --git a/homemade/anomaly_detection/README.md b/homemade/anomaly_detection/README.md index 0332f83..3ed2e2e 100644 --- a/homemade/anomaly_detection/README.md +++ b/homemade/anomaly_detection/README.md @@ -1,5 +1,9 @@ # Anomaly Detection Using Gaussian Distribution +## Jupyter Demos + +▶️ [Demo | Anomaly Detection](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/anomaly_detection/anomaly_detection_gaussian_demo.ipynb) - find anomalies in server operational parameters like `latency` and `threshold` + ## Gaussian (Normal) Distribution The **normal** (or **Gaussian**) **distribution** is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate.