Parallel implementation of Fibonacci code.
int fib (int n) { if (n <= 2) return n; else { int x,y; x = cilk_spawn fib(n-1); y = fib(n-2); cilk_sync; return x+y; } }
Printable Format
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using logistic regression, where the prediction model is trained using batch stochastic gradient descent with weight decay.
"We are excited to announce support for one of our most requested features: you can now discover and run Django unit tests through the Test Explorer!"
"The most disruptive change we are making in this release is dropping support for .NET Framework."
Microsoft shipped the first release candidate for .NET 9, which is nearing feature completeness and production readiness in advance of its November debut.
Subscribe on YouTube
> More Webcasts