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Smart algorithms are being used everywhere from email to mobile apps to household IoT devices. Many of these algorithms rely on machine learning where results are being enhanced daily. Products like Azure Machine Learning Studio (AMLS) offer an easy to learn interface to develop sophisticated analytics for any dataset that you ever wanted to explore. Data shaping uses SQLite and Python and access to Azure or other datastores is seamless. Even if you are new to Python, the use of Jupyter Notebooks allows for great documentation and visualization of code results. This Meetup will focus on the use of AMLS and Jupyter Notebooks to explore a one of a kind dataset of bowling data – no mock or Hello World data at this Meetup. The data is generated daily using a camera on Raspberry Pi, an IoT SDK and blob postprocessing. The entire project is documented at https://github.com/cliffeby/DuckpinV001 Cliff Eby is a retired civil engineer learning software development as an avocation. His college coding was Fortran on punch cards but that was mothballed during his career running large heavy-civil design firms. He is a regular attendee at Cap Area .Net and other local meetups. He finds the development community unparalleled in community efforts. Beyond this Duckpin project, he is working on understanding the MEAN stack and testing.
Wanting to get up to speed on all the new language features of C# 8.0? This code-focused session will cover all the new features such as nullable/non-nullable reference types, async streams, static local functions, and more. But what about C# 7? In early 2017, C# 7.0 brought us new features such as tuples, local functions, and pattern matching. But did you know that since then, C# 7.1, C# 7.2, and C# 7.3 have also been released? If you feel like you “missed” these point-releases, this presentation will get you all caught up with C# 7.x – while also showing every new innovative feature of C# 8.0! Bio: Steve Michelotti works for Microsoft on the Azure Government Engineering team, focusing on developer enablement. In his role on the Azure Government Engineering team, Steve works with numerous law enforcement, defense, and intelligence agencies – enabling them to bring innovation to their mission by leveraging the full power of Azure is the most optimal way. He is a contributing author for Pluralsight training and a member of ASPInsiders. Before joining Microsoft, he was a 7-time Microsoft MVP in ASP.NET. In addition, Steve is a frequent presenter at developer user groups, conferences, and Code Camps throughout the US. Steve is an avid blogger (http://stevemichelotti.com), has contributed articles to Visual Studio Magazine, and his work on high performance web solutions was featured on Channel 9. Before Microsoft, he served as an Architect/Developer for Applied Information Sciences (AIS) where he led numerous projects including a multi-year effort to modernize the business systems of a major insurance carrier. Previously he was the Chief Technologist at e.magination where he consulted with clients including Advertising.com/AOL where he was the Tech Lead for one of the highest volume .NET applications in the world.
Whether you’re developing on Windows, Mac or Linux, learn how you can use Visual Studio Code on your development platform of choice to build ASP .NET Core web apps and deploy to the cloud with ease. Get busy with the new-and-improved Visual Studio 2019 for Windows or Mac. Pick and choose one of many ways of developing cross-platform web apps with the all-new open-source ASP .NET Core 3.0, now with SignalR, improved Web API, MVC, Razor Pages and more! Bio: Shahed Chowdhuri is a Cloud Advisor for Microsoft and a public speaker in the DC Metro area. He focuses on a variety of technologies, including web apps, bots, serverless/cloud, ML/AI, HoloLens and Mixed Reality. You can find him blogging at WakeUpAndCode.com and also on Twitter via @shahedC
Big data requires services to orchestrate and operationalize processes to refine the large raw data into actionable business insights. Azure Data Factory is a managed cloud service that is built for these complex hybrid extract-transform-load (ETL), extract-load-transform (ELT), and data integration projects. This presentation will help get started with Azure Data Factory using both UI and .NET SDK. Bio: Mr. Tsegaye is an AIS Technical Architect with approximately 20 years of professional experience in software engineering, development, and architecture. His experience in an end-to-end cloud deployment, cloud technical customer engagement, including architectural design sessions, specific implementation projects and proof of concepts. He also has experience in end-to-end deployment and usage for Azure Data Services such as Azure Data Factory, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Azure Event Hubs, Azure Data Lake Analytics, Azure Machine Learning.