Machine Learning

Splunker Yanpei Chen on What Data Scientists Need to Know

Splunk’s Yanpei Chen speaks to Roberto Zicari of ODBMS.org about what data scientists need to know about machine learning

Linking operational data with customer feedback to drive improved Customer Experience

Correlating operational data with customer feedback to understand what drives the customer experience

Using machine learning for anomaly detection research

Anomalies vary by use case–IT system outages, security breaches, business analytic patterns, IoT device status. Set baselines & learn means of spotting anomalies with Splunk.

Analyzing BotNets with Suricata & Machine Learning

Suricata open source threat detection engine data & Splunk machine learning toolkit (MLTK) helps intrusion detection and intrusion prevention (inline).

What is your “Art of the Possible” Idea?

Expand your imagination with Splunk. Take your career to a new level with a machine-data analytics platform with no boundaries.

Detect IoT anomalies and geospatial patterns for logistics insights

Use Splunk Machine Learning Toolkit for anomaly detection, overcome challenges detecting outliers, baselining, thresholding; add context, geolocation, heat maps.