Webinar info# DataSciences - 数据科学
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The Cloud Data Science Process: Live Webinar with Azure Data Scientists
https://azureinfo.microsoft.com/CO-Azure-WBNR-FY15-03March-
CloudDataScienceProcess_Registration.html?ls=Email&lsd=MSInternal
Tuesday, March 17th 2015
9:00AM-10:00AM PST
The Cloud Data Science Process (CDSP) demonstrates the end-to-end data
science process in the cloud, using the full spectrum of Azure technologies,
programming languages such as Python and R, and other tools. The end-to-end
process starts from raw data, and ends at consuming the web service API of
machine learning models that predicts new observations in production. The
CDSP showcases solutions in a group of scenarios of varying scale and
complexity, and provides supporting artifacts which include detailed guides,
tutorials, videos, templates, and published code.
This webinar covers an end-to-end story using SQL Server and IPython
Notebook on Azure virtual machines as the data storage and processing tools.
It walks through the end-to-end data science process using a publicly
available dataset – the NYC Taxi Trips Data – in the first half, followed
by an open Q&A session to address further questions.
https://azureinfo.microsoft.com/CO-Azure-WBNR-FY15-03March-
CloudDataScienceProcess_Registration.html?ls=Email&lsd=MSInternal
Tuesday, March 17th 2015
9:00AM-10:00AM PST
The Cloud Data Science Process (CDSP) demonstrates the end-to-end data
science process in the cloud, using the full spectrum of Azure technologies,
programming languages such as Python and R, and other tools. The end-to-end
process starts from raw data, and ends at consuming the web service API of
machine learning models that predicts new observations in production. The
CDSP showcases solutions in a group of scenarios of varying scale and
complexity, and provides supporting artifacts which include detailed guides,
tutorials, videos, templates, and published code.
This webinar covers an end-to-end story using SQL Server and IPython
Notebook on Azure virtual machines as the data storage and processing tools.
It walks through the end-to-end data science process using a publicly
available dataset – the NYC Taxi Trips Data – in the first half, followed
by an open Q&A session to address further questions.