2020欧洲杯投注备用

Machine Learning

Machine Learning

What's New in the Splunk Machine Learning Toolkit 5.2?

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.

Machine Learning

Deep Learning Toolkit 3.1 - Examples for Prophet, Graphs, GPUs and DASK

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.

Machine Learning

Deep Learning Toolkit 3.1 - Release for Kubernetes and OpenShift

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.

Machine Learning

Making Machine Learning Accessible to More Users

Splunk's Machine Learning Toolkit allows data scientists to quickly experiment, develop models, and operationalize algorithms on data.

Machine Learning

Botnet App for Splunk

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.

Machine Learning

Understanding and Baselining Network Behaviour using Machine Learning - Part II

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.

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