9 мая 2019 г.
At Microsoft Build 2019 we announced MLOps capabilities in Azure Machine Learning service. MLOps, also known as DevOps for machine learning, is the practice of collaboration and communication between data scientists and DevOps professionals to help manage the production of the machine learning (ML) lifecycle.
7 мая 2019 г.
Azure Functions constantly innovates so that you can achieve more with serverless applications, enabling developers to overcome common serverless challenges through a productive, event-driven programming model.
6 мая 2019 г.
With GitHub and Azure DevOps, Microsoft is helping developers plan, build and ship any app, from large enterprise solutions to open source projects.
3 мая 2019 г.
With the exponential rise of data, we are undergoing a technology transformation, as organizations realize the need for insights driven decisions. Artificial intelligence (AI) and machine learning (ML) technologies can help harness this data to drive real business outcomes across industries. Azure AI and Azure Machine Learning service are leading customers to the world of ubiquitous insights and enabling intelligent applications such as product recommendations in retail, load forecasting in energy production, image processing in healthcare to predictive maintenance in manufacturing and many more.
28 апреля 2019 г.
Docker recently announced Docker Hub had a brief security exposure that enabled unauthorized access to a Docker Hub database, exposing 190k Hub accounts and their associated GitHub tokens for automated builds. While initial information led people to believe the hashes of the accounts could lead to image:tags being updated with vulnerabilities, including official and microsoft/ org images, this was not the case. Microsoft has confirmed that the official Microsoft images hosted in Docker Hub have not been compromised.
15 апреля 2019 г.
Grafana is one of the popular and leading open source tools for visualizing time series metrics.
9 апреля 2019 г.
DevOps is the union of people, processes, and products to enable the continuous delivery of value to end users. DevOps for machine learning is about bringing the lifecycle management of DevOps to Machine Learning.
20 марта 2019 г.
As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode).
13 марта 2019 г.
Azure Databricks provides a fast, easy, and collaborative Apache® Spark™-based analytics platform to accelerate and simplify the process of building big data and AI solutions that drive the business forward, all backed by industry-leading SLAs.
11 марта 2019 г.
So you followed that excellent walkthrough on the web and built a great prototype web app. You run npm start locally and browse to https://localhost and it all looks great.