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Machine Learning

AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What's the Difference?

The continuous debate around artificial intelligence (AI) has led to a lot of confusion. There are many terms around it that appear to be similar, but when you take a closer look at them, that perception is not entirely accurate. For that reason, here we take our best shot and oppose AI vs. machine learning vs. deep learning vs. neural networks to set them apart once and for all. In short, we’ll look at how they all relate to each other, and what makes them different in their particular way.

Continuous Training and Deployment for Machine Learning (ML) at the Edge

Running machine learning (ML) inference in Edge devices close to where the data is generated offers several important advantages over running inference remotely in the cloud. These include real-time processing, lower cost, the ability to work without connectivity and with increased privacy.

Machine Learning at Splunk in Just a Few Clicks

The Machine Learning team at Splunk has been hard at work over the last several months preparing for a few exciting launches at.conf22, held just a few weeks ago. Splunk customers want to leverage machine learning (ML) in their environments, but many aren’t sure how to use it, or even how to get started.

Machine Learning: Definition, Methods & Examples

Machine learning has garnered a lot of attention in the past few years. The reason behind this might be the high amount of data from applications, the ever-increasing computational power, the development of better algorithms, and a deeper understanding of data science. We have already talked about artificial intelligence (AI) in a previous blog post. In this opportunity, we will learn about machine learning, what it is and how it works with examples and ITSM applications.

Here's how Machine Learning puts the 'personal' in ecommerce personalization

You can transform your search box into your sales rep—when you have the right tools. An impactful customer experience that drives purchases and loyalty isn't just about delivering what a customer says they want — it's about predicting and proactively serving up what they need. We might be able to imagine this work in a store with salespeople. But as organizations scale and customer interactions happen across digital and in-person mediums, their data grows.

Monitoring Ubuntu 20.04 and Activating ML with Netdata

Sometimes a hat is just a hat, the truth is just the truth, and the clearly most popular example of a category is plain to see. In this case, Ubuntu is the most popular Linux distribution currently available. With the operating system’s superior popularity also comes an amazing amount of community support.

Test Driving Machine Learning (ML) Anomaly Advisor

Netdata’s new Anomaly Advisor feature lets you quickly identify potentially anomalous metrics during a particular timeline of interest. This results in considerably speeding up your troubleshooting workflow and saving valuable time when faced with an outage or issue you are trying to root cause.

How to configure Netdata's all-new Anomaly Advisor, powered by ML, for real-time troubleshooting

Netdata's Lead Machine Learning Engineer, Andrew Maguire, walks through how to configure the all-new Anomaly Advisor. This new feature lets you troubleshoot in real-time, at scale, by identifying periods of time with raised anomaly rates across your entire infrastructure. In this guided video, Andrew will explain how to enable Netdata's ML functionality then, how to set up unsupervised anomaly detection with minimal configuration, and lastly how the Anomaly Advisor works to speed up troubleshooting when an incident occurs.

Introducing Anomaly Advisor for troubleshooting at scale

Troubleshoot at scale with our all-new, lightweight Anomaly Advisor, powered by machine learning. The Anomaly Advisor finds periods of time with elevated anomaly rates across your entire infrastructure faster than ever before. This new feature works along with our ML unsupervised models on the edge, making your troubleshooting trouble-free! Even better, the Anomaly Advisor requires minimal configuration and is extremely lightweight. No need to worry about exhausting your CPU usage.

Researchers test the power of machine learning to unravel long Covid's mysteries

Long Covid, with its constellation of symptoms, is proving a challenging moving target for researchers trying to conduct large studies of the syndrome. As they take aim, they’re debating how to responsibly use growing piles of real-world data — drawing from the full experiences of long Covid patients, not just their participation in stewarded clinical trials.