Free Webinars on Cognitive Toolkit with Batch AI, DSVM & Document Collection Analysis

Join us at a set of three exciting webinars starting on Tuesday next week where we’ll show you how to train distributed convolution neural networks using Microsoft Cognitive Toolkit (aka CNTK) and Batch AI, how to do AI development using the latest version of the Data Science Virtual Machine (DSVM), and how to use Document… Read more

Announcing the Data Science Virtual Machine in Batch AI Service

This post is authored by Paul Shealy, Senior Software Engineer at Microsoft. We are pleased to announce the integration of the Microsoft Data Science Virtual Machine (DSVM) with the Batch AI service in Azure. DSVM is a family of popular VM images published on Azure with a broad choice of machine learning, AI and data… Read more

Machine Learning for Developers – How to Build Intelligent Apps & Services

This post is authored by Daniel Grecoe, Senior Software Engineer at Microsoft. There’s a lot of talk about machine learning these days and how it will transform applications and services. Most of it is right on target: ML is definitely changing the way certain computing tasks will be implemented in the future, why wouldn’t it?… Read more

Running BigDL Apache Spark Deep Learning Library on Microsoft Data Science Virtual Machine

This post is co-authored by Gopi Kumar at Microsoft and Sergey Ermolin at Intel. Introduction BigDL is a distributed deep learning library for Apache Spark. It has both Python and Scala interfaces and takes advantage of Spark-enabled distributed compute infrastructure, allowing users to write Deep Learning applications in a familiar native Spark context format. The Microsoft… Read more

Introducing the new Data Science Virtual Machine on Windows Server 2016

This post is authored by Udayan Kumar, Software Engineer at Microsoft. We are excited to offer a Windows Server 2016 version of our very popular Microsoft Azure Data Science Virtual Machine (DSVM). This new DSVM version is based on the latest Windows Server 2016 Data Center edition. We’ve added new tools and upgraded existing tools… Read more

End-to-End Scenarios Enabled by the Data Science Virtual Machine: Webinar Video

This post is authored by Barnam Bora, Program Manager in the Algorithms & Data Science team at Microsoft. Microsoft’s Data Science Virtual Machine (DSVM) is a family of popular VM images in Windows Server & Linux flavors that are published on the Microsoft Azure Marketplace. They have a curated but broad set of pre-configured machine… Read more

Deep Learning with Caffe2 on the Azure Data Science Virtual Machine

This post is authored by Gopi Kumar, Principal Program Manager, and Paul Shealy, Senior Software Engineer, at Microsoft. With the availability of ultra-fast GPUs (Graphics Processing Units), compute-intensive deep learning algorithms are becoming increasingly popular. Deep learning algorithms are particularly versatile at deriving insights from large amounts of information across rich formats such as text,… Read more

Deep Learning on the New Ubuntu-Based Data Science Virtual Machine for Linux

Authored by Paul Shealy, Senior Software Engineer, and Gopi Kumar, Principal Program Manager, at Microsoft. Deep learning has received significant attention recently for its ability to create machine learning models with very high accuracy. It’s especially popular in image and speech recognition tasks, where the availability of massive datasets with rich information make it feasible… Read more

Latest Rev of Utilities for Microsoft Team Data Science Process (TDSP) Now Available

This post is authored by Hang Zhang, Senior Data Science Manager, Xibin Gao, Data Scientist, and Wei Guo, Data Scientist, of Microsoft. We are excited to announce the release of version 0.12 of the Microsoft Team Data Science Process utilities. We had earlier released Team Data Science Process (TDSP) back in September 2016, along with… Read more

Take Advantage of Scalable Cloud Compute Directly from Your R Session, with doAzureParallel

Re-posted from the Azure blog. For users of the R language, scaling up their work to take advantage of cloud compute has generally been a complex undertaking. We are therefore excited to announce doAzureParallel, a lightweight R package built on Azure Batch that allows you to easily use Azure’s flexible compute resources right from your… Read more