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| author | Fotis Voutsas <fotis@netdata.cloud> | 2024-04-29 10:24:33 +0300 |
|---|---|---|
| committer | Fotis Voutsas <fotis@netdata.cloud> | 2024-04-29 10:24:33 +0300 |
| commit | 1de2dc9329b7f4e31cf73d62a6de247b8710cb91 (patch) | |
| tree | e78519b8221bd29c3303488c6064d2323938a5ac | |
| parent | 83aaf327d5a312bc08a09a9ecd7c6b8add6403ce (diff) | |
link to AAml-docs-refresh
| -rw-r--r-- | src/ml/README.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/ml/README.md b/src/ml/README.md index e4e87421a2..b1e08c621d 100644 --- a/src/ml/README.md +++ b/src/ml/README.md @@ -2,7 +2,7 @@ In observability, machine learning can be used to detect patterns and anomalies in large datasets, enabling users to identify potential issues before they become critical. -At Netdata through understanding what useful insights ML can provide, we created a tool that can improve troubleshooting, reduce mean time to resolution and in many cases prevent issues from escalating. +At Netdata through understanding what useful insights ML can provide, we created a tool that can improve troubleshooting, reduce mean time to resolution and in many cases prevent issues from escalating. That tool is called the [Anomaly Advisor](https://github.com/netdata/netdata/blob/master/docs/dashboard/anomaly-advisor-tab.md), available at our [Netdata dashboard](https://github.com/netdata/netdata/blob/master/docs/category-overview-pages/accessing-netdata-dashboards.md). > **Note** > |