From c60e10347825072aa77b5bcfa4aa1942fc564920 Mon Sep 17 00:00:00 2001 From: Andrew Maguire Date: Thu, 21 Jul 2022 19:47:56 +0100 Subject: add ML bullet point to features section on README (#13418) add ML bullet point to features section on README --- README.md | 1 + 1 file changed, 1 insertion(+) (limited to 'README.md') diff --git a/README.md b/README.md index 779f95f010..423de539cd 100644 --- a/README.md +++ b/README.md @@ -72,6 +72,7 @@ Here's what you can expect from Netdata: synchronize charts as you pan through time, zoom in on anomalies, and more. - **Visual anomaly detection**: Our UI/UX emphasizes the relationships between charts to help you detect the root cause of anomalies. +- **Machine learning (ML) features out of the box**: Unsupervised ML-based [anomaly detection](https://learn.netdata.cloud/docs/cloud/insights/anomaly-advisor), every second, every metric, zero-config! [Metric correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations) to help with short-term change detection. And other [additional](https://learn.netdata.cloud/guides/monitor/anomaly-detection) ML-based features to help make your life easier. - **Scales to infinity**: You can install it on all your servers, containers, VMs, and IoT devices. Metrics are not centralized by default, so there is no limit. - **Several operating modes**: Autonomous host monitoring (the default), headless data collector, forwarding proxy, -- cgit v1.2.3