There are a lot of new technologies coming out at an ever increasing pace.

How do you keep up?

Enter Microsoft Learn: the easiest way to learn products and services through task-based, interactive learning.

With hundreds of free courses, localized into 23 different languages, covering Azure, Dynamics, Power Apps, Flow, with more coming.

Whether you’re just starting or an experienced professional, our hands-on approach helps you arrive at your goals faster, with more confidence and at your own pace.

Anavi Nahar joins Donovan Brown to show how virtual network peering enables you to connect networks seamlessly in Azure Virtual Network.

The virtual networks appear as one for connectivity purposes.

The traffic between virtual machines uses the Microsoft backbone infrastructure. Like traffic between virtual machines in the same network, traffic is routed through Microsoft’s private network only.

What is the universal inference engine for neural networks?

Microsoft Research just posted this video exploring ONNX.

Tensorflow? PyTorch? Keras? There are many popular frameworks out there for working with Deep Learning and ML models, each with their pros and cons for practical usability for product development and/or research. Once you decide what to use and train a model, now you need to figure out how to deploy it onto your platform and architecture of choice. Cloud? Windows? Linux? IOT? Performance sensitive? How about GPU acceleration? With a landscape of 1,000,001 different combinations for deploying a trained model from some chosen framework into a performant production environment for prediction, we can benefit from some standardization.

FRONTLINE PBS | Official has created a  documentary exploring how artificial intelligence is changing life as we know it — from jobs to privacy to a growing rivalry between the U.S. and China.

FRONTLINE investigates the promise and perils of AI and automation, tracing a new industrial revolution that will reshape and disrupt our world, and allow the emergence of a surveillance society.

Azure Machine Learning has a large library of algorithms from the classification, recommender systems, clustering, anomaly detection, regression and text analytics families.

Each is designed to address a different type of machine learning problem.

In this demo, you will learn how to use Azure Machine Learning designer in a few simple steps and create an end-to-end machine learning pipeline for your data science scenario.

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