This talk from io19 is for people who know how to code, but who don’t necessarily know machine learning.

Watch this video to learn the ‘new’ paradigm of machine learning, and how models are an alternative implementation for some logic scenarios, as opposed to writing if/then rules and other code.

Oceans account for the majority of the earth’s surface area. To say that they were important to the health of the entire planet and all life on it would be an understatement.  In order to best conserve and manage oceanic biodiversity, research scientists need accurate information on the inhabitants of the seabed. One way this data is collected is with autonomous underwater vehicles (AUV) mounted with cameras.

However, this leads to a new problem: collecting massive amounts of data and processing it. Now, new research led by the University of Plymouth finds artificial intelligence (AI) could help with the task.

“This makes it an important step forward in dealing with the huge amounts of data being generated from the ocean floor, and shows it can help speed up analysis when used for detecting some species. But we are not at the point of considering it a suitable complete replacement for humans at this stage.”

Python is a powerful stack running many websites that you know and love, but it can be difficult to get your development environment running smoothly, especially when using technologies like Docker.

In this session from Build 2019, learn how to set up the ultimate containerized Python development environment in Visual Studio Code, deploy your application to Azure with a few clicks, and use Azure DevOps to automate your deployments.