Gary Explains the release of WSL2.

WSL2 will officially be part of Windows 10, version 2004, which will be rolled out very soon. The design of WSL 2 is quite different to WSL 1. It includes a real Linux kernel, not just a compatibility layer, which means you can run Docker. Here is a quick look at WSL 2 and a quick demo on Ubuntu running inside of Ubuntu running inside Windows!

Think serverless is just for functions? Think again!

Brendan Burns joins Donovan Brown to look at how serverless containers can provide a cloud-native container experience without the worry of a server or operating system.

They also look at how this integrates with the Azure Kubernetes Service (AKS).

Related links:

Here’s a list of free data science courses to get up to speed while you’re locked down.

Organisations across the world are turning to data science professionals to help businesses extract insights from the vast reserves of data. This means that there is a resilient push by recruitment agencies for people skilled in data mining, programming, and statistical modelling, among others. Although the demand for talent

Here’s an interesting write up on how to integrate machine learning models into Azure Stream Analytics.

You can implement machine learning models as a user-defined function (UDF) in your Azure Stream Analytics jobs to do real-time scoring and predictions on your streaming input data. Azure Machine Learning allows you to use any popular open-source tool, such as Tensorflow, scikit-learn, or PyTorch, to prep, train, and deploy models.

Powerpoint Designer utilizes machine learning to provide users with redesigned slides to maximize their engagement and visual appeal.

Up to 4.1 million Designer slides are created daily and the Designer team is adding new types of content continuously.

Time Index:

  • [02:39] Demo – PowerPoint suggests design ideas to help users build memorable slides effortlessly
  • [03:28] A behind-the-scenes look at how PowerPoint was built to make intelligent design recommendations
  • [04:47] AI focused on intelligently cropping images in photos and centering the objects, positioning the images, and even using multi-label classifiers to determine the best treatment.
  • [06:00] How PowerPoint is solving for Natural Language Processing (NLP).
  • [07:32] Providing recommendations when image choices don’t meet the users’ needs.
  • [09:30] How Azure Machine Learning helps the dev team scale and increase throughput for data scientists.
  • [11:10] How distributed GPUs helps the team work more quickly and run multiple models at once.