Based on our record, Microsoft SQL Server should be more popular than Azure Machine Learning Studio. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Machine Learning studio https://studio.azureml.net/ but this will be discontinued in Dec 01,2021 :(. Source: over 2 years ago
Advanced analytics, predictive modeling: You can't go passed learning R or Python if you're that way inclined.. however, if you're a GUI monkey like me, I have had a fair amount of success using https://studio.azureml.net/ it's free at base level :). Source: almost 3 years ago
Amdocs has partnered with NVIDIA and Microsoft Azure to build custom Large Language Models (LLMs) for the $1.7 trillion global telecoms industry. Source: 7 months ago
You can utilise various tools on the platform to significantly improve your IT performance. Due to its flexibility, even official recommendations for Azure might need to be clarified and easier to comprehend. Simply put, Azure (formerly Windows Azure) is Microsoft's cloud computing operating system. Source: 12 months ago
This is not to say there aren't architects still working on premise in self managed environments, but if you're planning to join the forces, you probably want to have an idea of who are the 3 public cloud providers (AWS, Azure and GCP), and their offering and topology. - Source: dev.to / almost 3 years ago
Right now, AWS couldn’t be a better choice. AWS has been for many years—and continues to be—the market leader between all the cloud platforms. Whilst the competitors like GCP and Azure are catching up, they’ve still not toppled AWS which continues to be, by far, the biggest cloud provider. - Source: dev.to / over 3 years ago
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
MariaDB - An enhanced, drop-in replacement for MySQL