This looks interesting.

Google today introduced Neural Structured Learning (NSL) , an open source framework that uses the Neural Graph Learning method for training neural networks with graphs and structured data. NSL works with with the TensorFlow machine learning platform and is made to work for both experienced and inexperienced machine learning […]

.NET developers have been taking advantage of dependency injection (DI) to make their code easier to test and manage.

The latest update to Azure Functions v2 now has support for registering services with DI.

In this episode, Fabio Cavalcante from the Azure Functions team joins explains how this feature works.

Useful Links

When a live site issue or outage occurs, quickly determining the root cause is critical. Standard monitoring solutions might alert you to a problem.

They might even indicate which component is failing.

But this alert won’t always immediately explain the failure’s cause. You know your site worked five minutes ago, and now it’s broken.

What changed in the last five minutes?

This is the question that Application Change Analysis is designed to answer in Azure Monitor.

    Azure Monitor Related Links

    Here’s a talk, that looks at third party tracking on Android.

    From the video description:

    We’ve captured and decrypted data in transit between our own devices and Facebook servers. It turns out that some apps routinely send Facebook information about your device and usage patterns – the second the app is opened. We’ll walk you through the technical part of our analysis and end with a call to action: We believe that both Facebook and developers can do more to avoid oversharing, profiling and damaging the privacy of their users.

    Decentralized apps or “dApps” are the much-promised innovation of crypto.

    Imagine a decentralized version of every major application out there today, as well as new applications native to crypto.

    Arianna Simpson, founder and managing director of ASP and crypto angel investor (and former product manager at BitGo with stints at Facebook and Shoptiques) shares where we are right now, and where we might be heading — from open financial tools and decentralized finance (“DeFi”) to infrastructure, gaming, and digital collectibles/ goods.

    This talk was originally delivered at the inaugural a16z Crypto Regulatory Summit 2019, which brings together leading crypto experts and builders, other technologists, academics, industry executives, and government officials — along with forward-thinking regulators — to foster collaboration and the exchange of ideas around this important emerging industry.

    Here’s an in-depth look at doing Natural Language Processing in the three top frameworks: TensorFlow, PyTorch, and Keras.

    Before beginning a feature comparison between TensorFlow vs PyTorch vs Keras, let’s cover some soft, non-competitive differences between them. Non-competitive facts Below we present some differences between the three that should serve as an introduction to TensorFlow vs PyTorch vs Keras. These differences aren’t written in the spirit of […]

    In this article, explore how Reddit has been using machine learning and what its plans are for the future.

    Let’s take a walk through the history of machine learning at Reddit from its original days in 2006 to where we are today, including the pitfalls and mistakes made as well as their current ML projects and future efforts in the space. Based on a talk given by Anand […]