Machine Learning can often be a daunting subject to tackle much less utilize in a meaningful manner. In this session, attendees will learn how to take their existing data, shape it, and create models that automatically can make principled business decisions directly in their applications. The discussion will include explanations of the data acquisition and shaping process. Additionally, attendees will learn the basics of machine learning - primarily the supervised learning problem.
When designing cloud applications, you should take into account the fact that a failure or malfunction of any component of the system is possible. This template is called Designing for Failure. This design approach helps minimize the negative consequences of failure of any component of the internal or external system. Sometimes, it is not so simple to use the Designing for Failure template, but the Azure platform greatly facilitates this task due to the fact that some of the functions are implemented by cloud services—Azure Web Sites, Traffic Manager, CDN, RA—Geo Redundant Storage. During this session, we shall talk about how to use the functionality provided by Azure to ensure the accessibility of a website, even in the event of failure of one of the regions of the platform.
In the push to retire Windows XP, application compatibility was all about "getting it over the line," particularly for those who were trying to finish up before the end of support this past April. Now, in a post-XP world, things are changing faster—are your tools, techniques, and processes able to keep up? Do you even want to? And are you able to take full advantage of your platform? Join "The App Compat Guy" for a review of the current state of the art and the secrets of customers who have been able to break the chains and become agile again.