Feathr: LinkedIn’s feature store is now available on Azure
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.
Fine-tune natural language processing models using Azure Machine Learning service
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).
Monitoring environmental conditions near underwater datacenters using Deep Learning
At Microsoft, we put our cloud and artificial intelligence (AI) tools in the hands of those working to solve global environmental challenges, through programs such as AI for Earth.
Bring Interactive Analytics to Azure HDInsight: Kyligence Analytics Platform enables sub-second query
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.
Introducing H2O.ai on Azure HDInsight
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.
Use BigDL on HDInsight Spark for Distributed Deep Learning
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.