Splunk Machine Learning Toolkit Workshop
6th November 2019, 10am – 2pm
Arrow Offices, 6 Dowgate Hill, London, EC4R 2SU
The Splunk Machine Learning Toolkit (MLTK) enables users to create, validate, manage, and operationalise machine learning models through a guided user interface.
The MLTK extends the Splunk platform functions and lets you build custom analytics for any use case. The toolkit includes over 30 common algorithms and gives you access to more than 300 popular open-source algorithms through the Python for Scientific Computing library.
The MLTK has two main components:
- A Showcase, where you can see the six modeling assistants in action with example use cases. Through the Showcase you can inspect the Search Processing Language (SPL) and underlying code on the sample datasets, to see how it all works.
- Assistants to guide you through the process of applying an analytic from the Showcase to your own data. Follow your preferred workflow to detect incidents, reduce resolution times, optimise business events, and predict and prevent costly events in your organisation
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