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Cloud Machine Learning
<!--HTML--><p style="text-align:justify;"> Joseph Sirosh will talk about how the cloud is changing the picture for data science and machine learning. Bringing the power of the cloud to machine learning makes it possible to dramatically compress the time it takes to develop and...
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Lenguaje: | eng |
Publicado: |
2015
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Acceso en línea: | http://cds.cern.ch/record/1995036 |
Sumario: | <!--HTML--><p style="text-align:justify;">
Joseph Sirosh will talk about how the cloud is changing the picture for data
science and machine learning. Bringing the power of the cloud to machine
learning makes it possible to dramatically compress the time it takes to
develop and deploy analytics in production. With examples from various case
studies he will show how Azure Machine Learning, Microsoft's new product,
enables the use of the latest algorithms for big data, and how easily
scalable cloud APIs can be built and deployed to enable intelligence in any
connected application.
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<h4>About the speaker</h4>
<p style="text-align:justify;">
Joseph Sirosh is the corporate vice president of the Information Management
and Machine Learning (IMML) team in the Cloud and Enterprise group at
Microsoft Corp. Sirosh and his IMML team have delivered several innovative
advanced analytics services in the past year including Microsoft Azure
Machine Learning, Azure Stream Analytics and Azure Data Factory. His team is
also involved in the recent agreement by Microsoft to acquire Revolution
Analytics, the leading commercial provider of software and services for R,
the world's most widely used programming language for statistical computing
and predictive analytics. Sirosh joined Microsoft in fall 2013 from
Amazon.com Inc. where he was vice president for the Global Inventory
Platform and chief technology officer of the core retail business. Before
joining Amazon, he worked for Fair Isaac Corp. as vice president of research
and development. He is passionate about machine learning and its
applications and has been active in the field since 1990.
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