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

Published: Aug. 29, 2022, 8 a.m.

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.

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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\u2019s version of a number doesn\u2019t 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\u2019s 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?

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Mentioned in this Episode:

Architect Tips \u2014 New video podcast!

Azure DevOps

Clear Measure (Sponsor)

.NET DevOps for Azure: A Developer\u2019s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo \u2014 Available on Amazon!

Jeffrey Palermo\u2019s YouTube

Jeffrey Palermo\u2019s Twitter \u2014 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#

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