Daniel Anderson
Hi! I'm Daniel, a machine learning research engineer from Israel.
I love data and optimization, and had the opportunity to work on a variety of interesting problems, from analyzing brain signals to video-based 3D reconstruction.
I'm also fascinated with learning, and love teaching and creating interactive learning experiences.
I hold a B.Sc. in computer science from the Open University of Israel, and an M.Sc. in machine learning and data science from Reichman University, Israel.
I love music, the outdoors, and playing with my cat.
You can check out my blog to see what I'm passionate about.
He / Him
Machine Learning Research Engineer
Session
Want to unlock a powerful new tool?
Differentiable programming is a rising technique in numerical optimization, brought about by the deep learning revolution, providing general and accessible optimization capabilities that can be applied to diverse domains.
The tutorial will give you the basic understanding and tools you need to apply differentiable programming, and have you practice with illustrative problems.