Mathias Brandewinder: Math and Machine Learning using .NET - Episode 208 - Azure & DevOps Podcast

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:

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