Serving AI With Data: A Summary Of Build 2017 Data Innovations

Source: HTTPS://BLOGS.TECHNET.MICROSOFT.COM/DATAPLATFORMINSIDER/2017/05/10/SERVING-AI-WITH-DATA-A-SUMMARY-OF-BUILD-2017-DATA-INNOVATIONS/ This post was authored by Joseph Sirosh, Corporate Vice President, Microsoft Data Group This week at the annual Microsoft Build conference, we are discussing how, more than ever, organizations are relying on developers to create breakthrough experiences. With

Use BigDL on HDInsight Spark for Distributed Deep Learning

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

Building Advanced Analytical Solutions Faster Using Dataiku DSS On HDInsight

Source: HTTPS://BLOGS.MSDN.MICROSOFT.COM/AZUREDATALAKE/2017/02/16/BUILDING-ADVANCED-ANALYTICAL-SOLUTIONS-FASTER-USING-DATAIKU-DSS-ON-HDINSIGHT/   The AZURE HDINSIGHT APPLICATION PLATFORM allows users to use applications that span a variety of use cases like data ingestion, data preparation, data processing, building analytical solutions and data visualization. In this post we will see how

Cloud-Scale Text Classification With Convolutional Neural Networks On Microsoft Azure

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.

Quick-Start Guide To The Data Science Bowl Lung Cancer Detection Challenge, Using Deep Learning, Microsoft Cognitive Toolkit And Azure GPU VMs

Source: https://blogs.technet.microsoft.com/machinelearning/2017/02/17/quick-start-guide-to-the-data-science-bowl-lung-cancer-detection-challenge-using-deep-learning-microsoft-cognitive-toolkit-and-azure-gpu-vms/   This post is by Miguel Fierro, Data Scientist, Ye Xing, Senior Data Scientist, and Tao Wu, Principal Data Scientist Manager, all at Microsoft. Since its launch in mid-January, THE DATA SCIENCE BOWL LUNG CANCER DETECTION COMPETITION has

Load Data From Azure Data Lake Into Azure SQL Data Warehouse At 3TB/Hour

Source: https://blogs.technet.microsoft.com/machinelearning/2017/02/09/load-data-from-azure-data-lake-into-azure-sql-data-warehouse-at-3tbhour/   Re-posted from the Azure blog. AZURE SQL DATA WAREHOUSE (Azure SQL DW, or just SQL DW for short) is a SQL-based fully managed, petabyte-scale data warehousing solution in the cloud. It is highly elastic, enabling you to

Distributed Deep Learning on HDInsight with Caffe on Spark

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