Data Science

Understanding HDInsight Spark jobs and data through visualizations in the Jupyter Notebook

2019년 4월 29일 월요일

The Jupyter Notebook on HDInsight Spark clusters is useful when you need to quickly explore data sets, perform trend analysis, or try different machine learning models. Not being able to track the status of Spark jobs and intermediate data can make it difficult for data scientists to monitor and optimize what they are doing inside the Jupyter Notebook.

Senior Program Manager, Big Data Team

Microsoft and NVIDIA bring GPU-accelerated machine learning to more developers

2019년 3월 20일 수요일

With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale. This week, we are excited to announce two integrations that Microsoft and NVIDIA have built together to unlock industry-leading GPU acceleration for more developers and data scientists.

Principal Program Manager (Machine Learning Platform)

Build your own deep learning models on Azure Data Science Virtual Machines

2019년 2월 5일 화요일

As a modern developer, you may be eager to build your own deep learning models, but aren’t quite sure where to start. If this is you, I recommend you take a look at the deep learning course from fast.ai. This new fast.ai course helps software developers start building their own state-of-the-art deep learning models.

Principal Program Manager, Microsoft