Mathias Brandewinder: Math and Machine Learning using .NET - Episode 208

Mathias Brandewinder: Math and Machine Learning using .NET - Episode 208

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Mathias Brandewinder enjoys solving challenging business problems with software engineering and applied mathematics techniques, and some creativity. His current focus is on functional programming with F#, machine learning, and data science, and on putting them together to help companies make smarter decisions with their data. He loves teaching and mentoring, and is a regular speaker at conferences and community events all over the world. A former Microsoft F# MVP, he holds an MS in Operations Research from Stanford, an MS in Economics from University of Paris X, and an MBA from ESSEC. Topics of Discussion: [3:15] Mathias talks about how his love of math got him into programming. [5:57] Mathias discusses what intrigued him about F# and the scripting environment. [6:29] What about when a computer's version of a number doesn't really line up with the math version of a number? [11:51] What issues does F# help more than C#? [15:22] What is Mathias's favorite charting component for .NET? [18:27] What inspired Mathias to write his book, Machine Learning Projects for .NET Developers, and is there a new book on the horizon? [20:09] Mathias is here to say math can be genuinely fun! [24:03] Jupiter appears to be an on-the-fly evaluator of code that runs on a server somewhere through the browser. [29:13] What other math-related libraries should we be aware of, and what are some other resources we can check out? Mentioned in this Episode: Architect Tips — New video podcast! Azure DevOps Clear Measure (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon! Jeffrey Palermo's YouTube Jeffrey Palermo's Twitter — Follow to stay informed about future events! Programming with Palermo programming@palermo.net Mathias Brandewinder Website Mathias Brandewinder Bio mathias@brandewinder.com Five obscure charting tips with Plotly.NET Machine Learning Projects for .NET Developers DiffSharp Math.Net Numerics F# Get Started with OR-Tools for C# Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.


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