In this Lunch-and-Learn, our Splunk Solutions Architect and Machine Learning practitioner Jim Baxter shows you how to approach using the Machine Learning Toolkit (MLTK) in an intuitive way, and how you can use it with the data in your Splunk environment. Jim will cover the following:
- Developing a working mental model of the MLTK and how to use it
- Whirlwind overview of machine learning categories, algorithms, and use cases
- Data preparation steps and SPL
- 5-minute “all you need to know” statistics refresher
- How you can use the MLTK with YOUR Splunk data
- Demo and deep-dive into a working anomaly detection solution that you can leverage yourself