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Machine learning as a concept has been around for over 60 years, but as artificial intelligence becomes more and more popular, there's increased opportunity in the field of artificial intelligence and its subgroups, machine learning and deep learning. And with the explosion of cloud computing, it's only natural to study machine learning with cloud technologies like Azure. In this second course to her Azure machine learning series, Zarina Meeran starts you off with a look at AI and how machine learning is a subgroup of AI-an important concept to understand before diving into the various ML problems and ML algorithms to solve these problems. She then covers the ML lifecycle to get the end-to-end picture as well as the tools offered from Azure. Finally, Zarina goes through the architecture of MLOps within the cloud as currently adopted.
Success stories inspire us, and devops success stories are no exception. The site I found shares real-world transformations from different industries. These case studies explain how DevOps improved delivery speed, quality, and collaboration. It’s motivating to see how companies achieved measurable results. If you’re skeptical about DevOps benefits, these examples will change your mind. I highly recommend reading the devops success stories on the site https://apprecode.com/blog/azure-devops-pricing-explained-what-you-pay-for-and-what-you-get.