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Mathias Brandewinder: Math and Machine Learning using .NET - Episode 208
Manage episode 339392299 series 2446935
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!
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 Twitter — Follow to stay informed about future events!
programming@palermo.net
mathias@brandewinder.com
Five obscure charting tips with Plotly.NET
Machine Learning Projects for .NET Developers
Get Started with OR-Tools for C#
Want to Learn More?
Visit AzureDevOps.Show for show notes and additional episodes.
292 에피소드
Manage episode 339392299 series 2446935
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!
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 Twitter — Follow to stay informed about future events!
programming@palermo.net
mathias@brandewinder.com
Five obscure charting tips with Plotly.NET
Machine Learning Projects for .NET Developers
Get Started with OR-Tools for C#
Want to Learn More?
Visit AzureDevOps.Show for show notes and additional episodes.
292 에피소드
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