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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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7 Free Google Cloud Training Resources

ParkMyCloud

If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free Google Cloud training. Google Cloud Free Program. GCP’s free program option is a no-brainer thanks to its offerings. .

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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO

In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East. Long-term aspirations What are Oracle’s long-term goals for the cloud?

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GitLab Allies With Google to Bring AI to DevOps

DevOps.com

GitLab extended its alliance with Google as part of an effort to bring more generative artificial intelligence (AI) capabilities to DevOps workflows. The GitLab suite of software-as-a-service (SaaS) applications already reside on the Google cloud platform to provide GitLab with the foundation of data required to train those AI models.

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What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

Altexsoft

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

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Galileo emerges from stealth to streamline AI model development

TechCrunch

“There were no purpose-built machine learning data tools in the market, so [we] started Galileo to build the machine learning data tooling stack, beginning with a [specialization in] unstructured data,” Chatterji told TechCrunch via email. According to one recent survey (from MLOps Community), 84.3%

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Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO

These included metadata design and development, quantitative analysis, regression analysis, continuous integration, data analytics, data strategy, identity and access management, machine learning, natural language processing, and more.