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Azure Machine Learning is committed to simplifying the adoption of its platform for training and production cycles. Over the last several months, we have worked on adding support for workflows using command lines and support for scripts in multiple languages. We have also worked on bringing... Read more
Two years ago, when Luis Vargas, Ph.D. of Microsoft AI addressed ODSC, he told the story of his daughter learning multiple languages as a small child and how this hidden complexity transferred to teaching machines to learn. The development of AI follows a similar path as... Read more
Article by Tony Xing and Qiyang Li of Microsoft. AIOps is a term introduced by Gartner in 2016, referring to AI for IT Operations. It combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination. As more... Read more
Extracting information from unstructured documents such as contracts is usually manual and involves tediously reading and understanding substantial amounts of documents to find specific information and manually extracting the information to digitize it. The process consumes a significant amount of a lawyer’s billable hours and is... Read more
As more and more companies decide to move their on-premises datacenters to the cloud, cloud skills are now becoming increasingly important. In 2020, Microsoft Azure was declared the fastest growing cloud provider and therefore I decided to challenge myself to learn more about their Data... Read more
Suppose you’ve trained a machine learning model to accomplish some task, and you’d now like to provide that model’s inference capabilities as a service. Maybe you’re writing an application of your own that will rely on this service, or perhaps you want to make the service... Read more
With ODSC East right around the corner, coming April 19-21, it’s time to focus on some of the hot topics that you need to know. On everyone’s mind of course is artificial intelligence, where it’s going, and what will the future look like as the scale... Read more
The role of Machine Learning (ML) Engineer is in demand and 2022 will be no exception. However, each year the skills and certainly the platforms change somewhat. Certain skills become or less popular, new platforms and frameworks are cycled in, and responsibilities change. To get a... Read more
In this post, I’ll explain how to convert time-series signals into spectrograms and scaleograms, which are image representations of those signals that contain both frequency and time information. In a future post, we’ll use the images created here to classify the signals. I’ll explain the intuition... Read more
NLP is in right now. As the world struggles with COVID-19 still, companies are finding more use for chatbots, conversational AI, and so on. Just as we did with data engineering skills, we looked at over 20,000 NLP job descriptions to find the most in-demand NLP... Read more