The Splunk Machine Learning Toolkit (MLTK) version 5.2 is now available and purpose-built to hone in on common use cases such as forecasting, anomaly detection, and clustering.
This blog post highlights our customer's data scientists most demanded use cases and new algorithms for our recently released Splunk Deep Learning Toolkit 3.1.
2020欧洲杯投注备用With the launch of Splunk’s Machine Learning Toolkit 5.2, we have also released a new Deep Learning Toolkit for Splunk (DLTK) along with a brand new “golden” container image. Read all about it here.
Splunk's Machine Learning Toolkit allows data scientists to quickly experiment, develop models, and operationalize algorithms on data.
2020欧洲杯投注备用Can we use ML to detect botnets? Find out how you can use the Botnet App for Splunk to detect botnets using NetFlow logs.
In this second installment we will continue to use the Coburg Intrusion Detection Data Sets (CIDDS) to determine baseline behaviour for one of the nodes we identified as critical in the first half of this series.