Microsoft Machine Learning & Data Science Summit 2016
- Atlanta, GA
- September 26 - 27, 2016
- Speakers at Microsoft Machine Learning & Data Science Summit 2016
Microsoft Data Science Summit
Join us to hear from thought leaders and Microsoft engineers on the latest Big Data, Machine Learning, Artificial Intelligence, and Open Source techniques and technologies.
Connect in person
Join Big Data engineers, Data Scientists, Machine Learning practitioners and managers to share best practices. Connect with product team session speakers during "Meet the Speakers" forum for answers to specific questions.
Dive deep & learn
Up-level your technical foundation with product sessions, hands on labs and access to Microsoft Ignite's expo hall to learn about the latest Open Source (including R, Hadoop, Spark and more) and Microsoft technologies for Big Data, Advanced Analytics, Machine Learning & AI.
Think big & execute fast
Get inspired by what data driven solutions can enable. Learn about real-world examples directly from leading customers sharing use cases, architectural guidance and practical tips to help you accelerate sponsorship and adoption of your solutions.
Featured
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Opening Keynote Session with Dr. Joseph Sirosh: Azure - the Cloud Supercomputer for AI-We are still in the first minutes of the first day of the Intelligence revolution. In this
keynote, Dr. Joseph Sirosh will present 5 solutions (and their implementations) that the intelligent cloud delivers. Join us in this keynote to learn how these solutions can help any organization, from a startup... -
Data Science for Absolutely EverybodyNew to data science and analytics? Get your foundation here. This talk is a comprehensive overview of how to do data science from start to finish for the brand new data scientist. Brandon Rohrer will introduce you to the ideas and best practices in the field—no math, programming, or previous experience...
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Putting Science into the Business of Data ScienceData science relies on the scientific method of reasoning to help make business decisions based on analytics. Let Rafal explain how his customers apply the trusted processes and the principles of hypothesis testing with machine learning and statistics towards solving their day-to-day, practical business...
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R and Spark as Yin and Yang of Scalable Machine Learning in Azure HDInsightLarge enterprise customers and small startups are equally eager to take their businesses to new heights using the latest machine learning algorithms. In this session we explore how parallelized ML algorithms in Azure HDInsight R Server and Spark machine learning library contrast and complement each other....
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Cognitive Services: Making AI EasyThe rise of machine learning has produced an explosion of APIs to make your applications more intelligent. Come see them in action! You'll learn about more than 20 Cognitive Services APIs that provide object recognition, face detection and identification, emotion recognition, OCR, computer vision, video...
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Insanely Practical Patterns to Jump Start Your Analytics Solutions- Sachin Chouksey, Darwin Schweitzer
- machine+learning+, advanced+analytics+, real+world+solutions
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Come find out how you can quickly build data science and analytics solutions on Azure using well known design patterns and reference architectures via a new "to be announced" tool. This tool enables users to discover and provision analytics solutions with ease using building blocks and reference...
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‘Spilling’ Your Data into Azure Data Lake: Patterns & How-TosData is a valuable asset for your organization that has both present and future value, and it's desirable to store all data that can be analyzed to generate insights for optimizing your business. Traditional analytics infrastructure makes it difficult to do so because is often too costly, complex, and...
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Upcoming: Secrets of R and Spark at MS Data Science SummitIn this preview of the data science summit sessions Maxim and Seth discuss highlights of the two sessions: "Big, Fast, and Data-Furious...with Spark", "R and Spark as Yin and Yang of Scalable Machine Learning in Azure HDInsight" and how these sessions help data scientist become fast...
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Microsoft Data Science Summit: “Patterns and Practices for Data Integration at Scale” Session teaserCustomers face common data integration patterns and problems every day. They may have data behind their firewall that they want to cleanse and move to the cloud, or have data from multiple sources that they need to lift and shift into SQL Data Warehouse, or want to combine batch and real-time processing...
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Microsoft Data Science Summit: Talking about BotsJoin Seth and Matt to talk a little bit about the Bot Framework and Microsoft Cognitive Services before the upcoming Microsoft Data Science Summit.Links:
