Microsoft Weekly Data Science News for May 25, 2018

Here are the latest articles from Microsoft regarding cloud data science products and updates.

• Basics of R and Python Execution in SQL Server – Ensure Machine Learning Services is already installed and enabled. After setup I will now show you the basics of executing R and Python code within a T-SQL statement. While I use Python in these samples, you can do everything with R as well. Open up SQL …[Read More]
• Emerging AI Patterns – Since that time, the Microsoft AI Solution for Customer Service, which is being used by Microsoft, HP, Macy’s, Australian Government Department of Human Services … Machine learning does a great job of detecting patterns in a vast amount of data …[Read More]
• Devs imagine, create, and code the future at Microsoft Build – Developers experienced HoloLens, programmed their own AI-powered drones, and explored cutting-edge IoT solutions amid myriad other … technologies like Azure Containers, Power BI, and Cognitive Services then discuss concepts with the Microsoft engineers …[Read More]
• Explore Build 2018 content with playlists – AI + Machine Learning AI + Machine Learning Create the next generation of applications using artificial intelligence capabilities for any developer and any scenario Containers Containers Develop and manage your containerized applications faster with …[Read More]
• Enterprise Deployment Tips for Azure Data Science Virtual Machine (DSVM) – The Data Science Virtual Machine (DSVM), a popular … with a host of preconfigured data and AI tools. It enables data scientists and AI developers to iterate on developing high quality predictive models and deep learning architectures and helps them …[Read More]
• Improving Medical Imaging Diagnostics Using Azure Machine Learning Package for Computer Vision – This post is by Ye Xing, Senior Data Scientist, Tao Wu … We recently witnessed this first-hand when we developed a deep learning model on the newly released Azure Machine Learning Package for Computer Vision (AML-CVP) and were able to improve upon …[Read More]
• Build Your Own Text Classification Model – In all three of these examples, machine learning models can help. The Text Classification solution on the Azure AI Gallery solves these multi-class text classification problems using SQL Server ML Services. Both R and Python solutions are included.[Read More]
• Episode 8: IT IQ Series – Predictive analytics: the “cheat-sheet” for more personalised teaching? – “When we feed these seemingly unrelated data sets into a platform like Azure Machine Learning, we can predict various potential problem sites with a reasonably high degree of accuracy. That, in turn, helps schools deploy their resources as well as work …[Read More]