Source: https://azure.microsoft.com/en-us/blog/use-bigdl-on-hdinsight-spark-for-distributed-deep-learning/ Author: Xiaoyong Zhu Deep learning is impacting everything from healthcare, transportation, manufacturing, and more. Companies are turning to deep learning to solve hard problems like image classification, speech recognition, object recognition, and machine translation. In this blog post, Intel’s BigDL
Source: https://blogs.technet.microsoft.com/machinelearning/2017/02/13/cloud-scale-text-classification-with-convolutional-neural-networks-on-microsoft-azure/ This post is by Miguel Fierro, Ilia Karmanov, Thomas Delteil, Andreas Argyriou, and Max Kaznady, all Data Scientists at Microsoft. Natural Language Processing (NLP) is one of the fields in which deep learning has made significant progress.
Source: https://blogs.msdn.microsoft.com/azuredatalake/2017/02/02/distributed-deep-learning-on-hdinsight-with-caffe-on-spark/ Deep learning is impacting everything from healthcare to transportation to manufacturing, and more. Companies are turning to deep learning to solve hard problems, like image classification, speech recognition, object recognition, and machine translation. There are many popular frameworks, including
Source: https://blogs.technet.microsoft.com/machinelearning/2017/02/01/home-appliances-vending-machines-even-cruise-ships-get-an-infusion-of-cortana-intelligence/ A quick overview of recent customer case studies involving the application of Microsoft’s AI, Big Data & Machine Learning offerings. Carnival Maritime Predicts Water Consumption on Cruise Ships The Costa Group’s fleet of 26 cruise ships sail
Source: https://blogs.technet.microsoft.com/machinelearning/2017/01/06/add-intelligence-to-any-sql-app-with-the-power-of-deep-learning/ Re-posted from the SQL Server blog. Recent results and applications involving Deep Learning have proven to be incredibly promising, and across a diverse set of areas too, including speech recognition, language understanding, computer vision and more. Deep
The Microsoft Cognitive Toolkit—previously known as CNTK—empowers you to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms data scientists already use.
Source: https://blogs.technet.microsoft.com/dataplatforminsider/2016/08/29/eight-scenarios-with-apache-spark-on-azure-that-will-transform-any-business/ This post was authored by Rimma Nehme, Technical Assistant, Data Group. Since its birth in 2009, and the time it was open sourced in 2010, Apache Spark has grown to become one of the largest open source communities
Following Machine Learning Algorithm selection cheat sheet is put together by Azure ML Team. You can follow the flow chart to select a suitable algorithm for your purpose. You might need to do additional analysis to ensure that the recommended algo is
Unique datasets created and curated by Microsoft Data Science researchers for several fields of inquiry—ranging from natural language processing to computer vision. Available for download, free of charge, for use in your research. Access the Datasets here.