Tanzu Talk: Machine Learning in Kubernetes with GPUs
Machine Learning in Kubernetes with GPUs - get your AI/ML going with VMware Tanzu.
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ML/AI In Hours Not Months
Take ML/AI from Prototype to Production in Hours not Months with D2iQ. D2iQ delivers the leading independent platform for enterprise-grade Kubernetes. Starting with a comprehensive Kubernetes distribution built on pure upstream open-source, D2iQ provides management and ancillary platform applications that are tightly integrated, secured, and tested at scale.
Artificial Intelligence and Machine Learning Play a Role in Endpoint Security
ML-enhanced endpoint protection can keep schools safe from cyberattacks. Here are three benefits district leaders will find when investing in this advanced technology. Long before the pandemic, K–12 cyberattacks were a serious concern. The shift to remote learning has only increased the danger.
Introducing Grafana Machine Learning for Grafana Cloud, with metrics forecasting
At GrafanaCONline in June, we talked about the future of machine learning at Grafana Labs. Four months later, we are excited to introduce Grafana Machine Learning for Grafana Cloud, with our metrics forecasting capability. It’s available now to all customers on Pro or Advanced plans. If you’re not already using Grafana Cloud, you can sign up for a free 14-day trial of Grafana Cloud Pro here.
What Is Kaggle?
If you've ever wanted to discover more about Kaggle, the online community for machine learning students and data scientist practitioners then look no further than our expert-led guide to get an overview on all the basics you need to know about this amazing opportunity provider and competition organiser.
Driving Data Innovation With MLTK v5.3
Many of you may have seen our State of Data Innovation report that we released recently; what better way to bring data and innovation closer together than through Machine Learning (ML)? In fact, according to this report, Artificial Intelligence (AI)/ML was the second most important tool for fueling innovation. So, naturally we have paired this report with a new release of the Machine Learning Toolkit (MLTK)!
Feature Engineering For Machine Learning: The Ultimate Guide
Almost all industries use artificial intelligence (AI) and machine learning (ML) today. As part of the so-called disruptive technologies, they've upended current technologies and have affected people in the way they work, do business, and spend their leisure time. And, with the pace these techs are advancing, they'll continue to be at the forefront of technological progress in the next few years.
Elastic Enterprise Search: Next-gen search experiences backed by ML
At ElasticON Global 2021, we shared a future view of Elastic Enterprise Search and how we’re continuing to build next-generation, machine learning-powered search experiences backed by the speed, scale, and relevance of Elasticsearch. We also highlighted the many ways we plan to keep building even more flexibility into our solutions.
Put the Machines to Work for You: A Modern Approach to Increase IT Agility
Putting machines to work to enhance our everyday lives has been well-ingrained in our society for at least a couple of centuries now. IT workers use machine learning (ML) in their daily work routines, even if they don’t consciously realize it. Automated email alerts, issue escalations, and security patching are just a few examples of how ML has put the systems we rely on to work for us.
A developer's guide to machine learning security
Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and online services don’t even require a thorough knowledge of machine learning. However, even easy-to-use machine learning systems come with their own challenges. Among them is the threat of adversarial attacks, which has become one of the important concerns of ML applications.