How Does the Splunk Machine Learning Toolkit Learn?
Watch a quick tutorial on how to schedule your model’s retraining through time and the incremental learning option (partial fit).
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What's New in Splunk Machine Learning Toolkit Version 4.0
Find out what's new in the Splunk Machine Learning Toolkit Version 4.0 and the ML universe, launched at .conf18!
Machine Learning in IT Operations: the Role of Transparency, Trust, and Control
In this Webinar, Nancy Gohring, Senior Analyst at 451 Research, and Elik Eizenberg, CTO and Co-Founder at BigPanda, discuss IT Operations, Machine Learning and the importance of Transparency, Trust and Control so that IT Ops leaders and practitioners can choose the right tools to support their critical digital transformation initiatives.
Using AI / ML to Supercharge Continuous Delivery With Harness and PagerDuty
At first glance, applying machine learning to Continuous Delivery might sound a bit like cracking a peanut with a sledgehammer. I mean, how hard can deployment automation actually be? As it turns out, it’s way more complex than we think.
BigPanda's Open Box Machine Learning
Learn more and see how BigPanda's unique approach to Machine Learning can help you stay in control.
What's New in Splunk Machine Learning Toolkit Version 3.3 and 3.4
Learn more about the new features released in the Machine Learning Toolkit version 3.3 and 3.4.
Machine Learning & AIOps: Why IT Operations & Monitoring Teams Should Care
In this webinar, we break down what machine learning is, what it can do for your organization, and questions to ask when evaluating ML tools.
How-to: Build sophisticated alerts with Datadog machine learning
In this walkthrough, you'll learn how to use anomaly detection, forecasting, and composite monitors to build an alert that is precisely tailored to your applications and infrastructure.
3 Reasons To Implement Automation & Machine Learning For IT-Operations
Automation and efficiency go hand in hand and is something that has been mentioned in IT since the 70’s. Nevertheless, 40 years on, and the majority of companies still have to internalize and embrace automated processes.
Five worthy reads: Machine learning, the next phase of cybersecurity
With the number of cyberattacks growing with each passing day, the need for increasingly sophisticated security systems has never been higher. Just when these ceaseless attacks had you at your wit’s end, machine learning may just restore some sanity to the cybersecurity scene.