Event - Machine-Learning-and-Data-Sciences-Conference_Data-Science-Summit-2016


Unlock Real-Time Predictive Insights from the Internet of Things[MP4] [1:11:14] [2016/10/22]
As devices are becoming smarter and more connected, our expectations of what can be done with the data generated and collected from these devices continues to evolve both in the commercial and…


Streaming in the Cloud: Weve Got It All Covered[MP4] [1:14:14] [2016/10/22]
Now more than ever, the world around us is creating and transmitting data: Industrial IoT sensors, connected cars, application and server logs, and user interactions are everywhere. Learn how to turn…


Spilling Your Data into Azure Data Lake: Patterns & How-Tos[MP4] [0:56:31] [2016/09/30]
Data 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.…


What Is Your Data Science Super Power? Tips and Tricks to Successful Data Science[MP4] [1:01:28] [2016/09/29]
How do businesses and data scientists turn raw data into intelligent action? Why do some companies drown in volumes of data, while others thrive on turning it into golden strategic advantages? With…


Go Big (with Data Lake Architecture) or Go Home! [MP4] [0:55:03] [2016/09/29]
What can you do about information overload? IT professionals have to keep track of endless numbers of data streams from sources that seem to multiply every day. Web apps, social media, IoT devices,…


Bots as the Next UX: Expanding Your Apps with Conversation[MP4] [0:59:52] [2016/09/29]
At the confluence of the rise in messaging applications, advances in text and language processing, and mobile form factors, bots are emerging as a key area of innovation and excitement. Bots (or…


See, Hear, Move: Changing Lives with Data Science[MP4] [0:48:15] [2016/09/29]
Whether it's called data science, machine learning, or predictive analytics, the combination of new data sources and statistical modeling has produced some truly revolutionary applications. Many of…


Build Real-World Analytics Solutions Combining Machine Learning with Human Intelligence[MP4] [0:49:13] [2016/09/29]
By integrating scalable human judgment into your analytics solution, you can augment your lower-confidence machine learning predictions with accurate labels, and these labels can be used as additional…


Data Science Doesnt Just Happen, It Takes a Process. Learn about Ours[MP4] [0:58:24] [2016/09/29]
As the use of analytics for enterprise-wide data-driven decision making has grown, data science projects have also grown in complexity, but they are often executed in an ad hoc manner by scientists.…


Deep Learning in Microsoft R Server Using MXNet on High-Performance GPUs in the Public Cloud[MP4] [0:41:37] [2016/09/29]
MXNet recently became a popular open source deep learning toolkit for a variety of problems in computer vision and natural language processing (NLP). In this talk, we explore the MXNet framework and…


Killer Scenarios with Data Lake in Azure[MP4] [0:56:46] [2016/09/29]
When doing big data analysis, you often have to process data at scale that is not rectangular in nature and apply operations that the core SQL language may not support. To address this need and make…


Intelligent Virtual Reality Kitchen Design: Behind the Scenes[MP4] [0:48:10] [2016/09/29]
Get a behind-the-scenes look at how HoloLens and Cortana Intelligence can be used to improve customer experiences. This session focuses on a scenario that Microsoft has developed with Lowe's. We'll go…


Optimizing Apache Hive Performance in HDInsight[MP4] [1:01:53] [2016/09/29]
HDInsight allows you to run Big Data technologies (including Hadoop) on Microsoft Azure. If you have a Hadoop cluster, more than likely you use Hive in some capacity. Hive is the SQL engine on Hadoop…


Patterns and Practices for Data Integration at Scale[MP4] [0:54:00] [2016/09/29]
Customers 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…


Putting Science into the Business of Data Science[MP4] [0:52:51] [2016/09/29]
Data 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…


Building a Scalable Data Science Platform with R on HDInsight [MP4] [0:54:04] [2016/09/29]
Hadoop is famously scalable. Cloud computing is famously scalable. R, the thriving and extensible open source Data Science software, not so much. But what if we seamlessly combined Hadoop, cloud…


CNTK: Microsofts Open Source Deep Learning Toolkit[MP4] [0:51:50] [2016/09/29]
This talk introduces CNTK, Microsoft's cutting-edge deep learning toolkit. CNTK is Microsoft's open-source computation-graph based deep learning toolkit used to train and evaluate deep neural networks…


Big, Fast, and Data-Furiouswith Spark[MP4] [0:50:38] [2016/09/29]
Making teams of data scientists productive is a challenging task. The size of the data in Big Data problems is the first great hindrance to productivity. Apache Spark provides a foundation for the…


Data Science for Absolutely Everybody [MP4] [1:00:23] [2016/09/28]
New 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…


Keynote Session: Dr. Edward Tufte - The Future of Data Analysis [MP4] [0:57:41] [2016/09/28]
Data analysis seeks to learn from experience.  Better inferences require better thinking and better tools. Practical advice about how to make more credible conclusions based on data. What we can…


Insanely Practical Patterns to Jump Start Your Analytics Solutions[MP4] [2016/09/28]
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…


Cognitive Services: Making AI Easy[MP4] [1:01:54] [2016/09/28]
The 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…


R and Spark as Yin and Yang of Scalable Machine Learning in Azure HDInsight[MP4] [0:51:57] [2016/09/28]
Large 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…


Hololens and Cortana Intelligence[MP4] [0:06:59] [2016/09/24]
Learn a little more about what you'll see in the keynotes and talks on ways to apply ML to holographic retail experiences and more!


Scalable Data Science with R on HDInsight Presented at the 2016 Microsoft Data Science Summit[MP4] [0:14:37] [2016/09/24]
How you can efficiently use the Microsoft R Server (MRS) running on Hadoop HDInsight clusters to build scalable data analytics processes? Our talk "Building a Scalable Data Science Platform with…


Real time streaming talks at the 2016 Microsoft Data Science Summit [MP4] [0:07:38] [2016/09/24]
Sam Chandrashekar from the Microsoft BigData team gives us a preview to his talks on real time streaming processing on Auzre at the 2016 Microsoft Data Science Summit.


Taming the Data Science Monster with U-SQL: A preview[MP4] [0:19:41] [2016/09/24]
If you have a lot of volume and variety of data that you want to investigate and analyze, it is important to have a scalable data lake to store it and a scalable and extensible query language to…


Opening Keynote Session with Dr. Joseph Sirosh: Azure - the Cloud Supercomputer for AI- [MP4] [1:28:55] [2016/09/23]
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…


Microsoft Data Science Summit: Talking about Bots[MP4] [0:28:09] [2016/09/20]
Join Seth and Matt to talk a little bit about the Bot Framework and Microsoft Cognitive Services before the upcoming Microsoft Data Science Summit.…


Microsoft Data Science Summit: Patterns and Practices for Data Integration at Scale Session teaser[MP4] [0:17:38] [2016/09/20]
Customers 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…


Upcoming: Secrets of R and Spark at MS Data Science Summit[MP4] [0:06:14] [2016/09/20]
In 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…