2021 Technical Conference Offerings

Mark Reynolds’ Biography

Mark Reynolds’ Biography

for Technical Conferences Publications

Mark has been developing operations-centric solutions, Machine Learning, Predictive Analytics, and Surveillance Systems. Mark’s experience includes addressing challenges in Operations Technology, Information Technology, and Knowledge Engineering. Recently he has been a contributing leader in public forums as an Applied System Engineer and Machine Learning Architect. Mark is a contributing author for energy industry and computer science magazines, and speaker at industry conferences. In his spare time, he is Professor of Computer Science at Lone Star College.

Blog: http://profreynolds.com/

LinkedIn: https://LinkedIn.com/in/ProfReynolds

Photo: profreynolds.com/information/MarkReynolds.jpg

Why Do We Want C# 9?

An incremental improvement or a step change?

Just when you though it couldn't get any better, C# v9 arrives bringing new features to Visual Studio. Each of these will be demonstrated in a practical example.

Blazor (in development)

Blazor lets you build interactive web UIs using C# instead of JavaScript. Blazor apps are composed of reusable web UI components implemented using C#, HTML, and CSS. Both client and server code is written in C#, allowing you to share code and libraries.

Blazer is the next generation moving away from frameworks such as JavaScript, Angular, or React.

Coding Standards --- Effective Not Just Efficient

Every project has a development standard. Sometimes the standard is “if it was hard to write, it should be hard to maintain.”

Developing, and following, a corporate Best Practices standard will lead to continuity, maintainability, robustness, and pride.

[Most popular topic – revised and enhanced for 2019.]

Intro to Azure Machine Learning using the AML Learning Studio

Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions. This session will demonstrate initial projects utilizing data science concepts and principals.

[This was a 2018 topic, revised and enhanced for 2019.]