add note on readme on how to easily see all ml related blog posts (#14675)
Andrew Maguire committed
Mar 7, 2023 at 10:29 UTC
1af0c0f144816f43d6f22b23da8d80be5e0f1f1c
1 file changed
+1
ml/README.md
+1
@@ -268,3 +268,4 @@ The anomaly rate across all dimensions of a node.
268
- You should benchmark Netdata resource usage before and after enabling ML. Typical overhead ranges from 1-2% additional CPU at most.
269
- The "anomaly bit" has been implemented to be a building block to underpin many more ML based use cases that we plan to deliver soon.
270
- At its core Netdata uses an approach and problem formulation very similar to the Netdata python [anomalies collector](https://github.com/netdata/netdata/blob/master/collectors/python.d.plugin/anomalies/README.md), just implemented in a much much more efficient and scalable way in the agent in c++. So if you would like to learn more about the approach and are familiar with Python that is a useful resource to explore, as is the corresponding [deep dive tutorial](https://nbviewer.org/github/netdata/community/blob/main/netdata-agent-api/netdata-pandas/anomalies_collector_deepdive.ipynb) where the default model used is PCA instead of K-Means but the overall approach and formulation is similar.
271
+- Check out our ML related blog posts over at [https://blog.netdata.cloud](https://blog.netdata.cloud/tags/machine-learning)