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Entradas de: Xiaoyong Zhu

Feathr: LinkedIn’s feature store is now available on Azure

martes, 12 de abril de 2022

With the advance of AI and machine learning, companies start to use complex machine learning pipelines in various applications, such as recommendation systems, fraud detection, and more. These complex systems usually require hundreds to thousands of features to support time-sensitive business applications, and the feature pipelines are maintained by different team members across various business groups.

Principal Data Scientist, Azure Data

Fine-tune natural language processing models using Azure Machine Learning service

lunes, 17 de diciembre de 2018

In the natural language processing (NLP) domain, pre-trained language representations have traditionally been a key topic for a few important use cases, such as named entity recognition (Sang and Meulder, 2003), question answering (Rajpurkar et al., 2016), and syntactic parsing (McClosky et al., 2010).

Principal Data Scientist, Azure Data

Bring Interactive Analytics to Azure HDInsight: Kyligence Analytics Platform enables sub-second query

lunes, 7 de agosto de 2017

Kyligence Analytics Platform is a leading big data intelligence platform powered by Apache Kylin. It enables interactive analytics with sub-second query latency, even on massive data-set. We are happy to announce that the Kyligence team and Azure HDInsight team have worked closely with each other to bring OLAP capabilities to HDInsight, and KAP is now available on Azure HDInsight as an HDInsight application.

Principal Data Scientist, Azure Data

Introducing H2O.ai on Azure HDInsight

miércoles, 19 de abril de 2017

We are excited to announce that H2O’s AI platform is now available on Azure HDInsight Application Platform. Customers can now use H2O.ai’s Sparkling Water solution on a HDInsight cluster along with Azure’s collection of cloud services. Together, the H2O team and Azure HDInsight team will integrate technologies to deliver enterprises the best business solutions and to build relationships within the open analytics community.

Principal Data Scientist, Azure Data

Use BigDL on HDInsight Spark for Distributed Deep Learning

miércoles, 29 de marzo de 2017

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. This blogpost describes how to enable Intel’s BigDL Deep Learning Spark module on Microsoft’s Azure HDInsight Platform.

Principal Data Scientist, Azure Data