twitwi
commented
2 years ago Some resources that might be of use:
- There is a distill.pub article that is quite useful (maybe you know it): https://distill.pub/2019/visual-exploration-gaussian-processes/ (even though it is not fully interactive).
- When explaining 2D gaussians (as a first step towards GP), I used a home-made interactive tool http://twitwi.github.io/teaching-weblets/gaussian2d/gaussian2d.html
itskalvik
About the author
Hello, my name is Kalvik Jakkala, I am a PhD candidate at the University of North Carolina at Charlotte. I am currently researching informative path planning (robotics), and I love Gaussian processes!
Quick Summary
I want to make an interactive demo for Gaussian processes. I already made a blog post on it (GPs), but I didn't mention most of the math and focused on giving the user an intuition of the method. I want to polish it to include the math and improve my current interactive demo, which is just a python notebook on colab at the moment.
GPs are awesome, you can use them for classification, regression, and generative tasks. I think it will be very useful for robotics and machine learning people. Making my post more interactive and breaking down the math would help people appreciate the elegance of this approach, which I think is often underappreciated.
Target medium
I am looking for anyone who can help me make an interactive demo that can be embedded in the blog post. I already have the base code implemented in python, but it's a static demo.
More details
Blog post link: Tutorial on Gaussian Processes
I have the python code for my interactive demos available in the post, I need help converting it into javascript and embedding it directly in the post instead of redirecting the reader to google colab.
Contact details
Email: kjakkala@uncc.edu