models

I just tried "UnsafeVarint" in DDG and while #1 and #2 were useless COVID hits as you said, DDG #4 was the same as Google's #1 hit which was this GitHub issue: https://github.com/tensorflow/models/issues/7420 Google's #2 hit for me was blogspam at "bankoftrans [dot] com" that copied the source code for UnsafeVarint in order to game Google search results. (A growing problem others in this discussion have been complaining about.) So Google isn't stellar for your search, either, though perhaps it was working better for you because you were logged in with your Google Account. Like I said, I do still use Google via "!g" and "!gi" when DDG's results are garbage, but often in these cases Google's results are also junk.

For the purpose of this question, you might search for pre-trained models that predict what you want to predict, and use them. https://modelzoo.co/ https://github.com/tensorflow/models https://cv.gluon.ai/model_zoo/index.html If there are no pre-trained models, you could take a look at fast.ai courses: https://course18.fast.ai/ml.html (for Machine Learning (ML)) https://www.fast.ai (for others "DL" (Deep Learning)) This courses is targeted towards programmers, and they dive right into the code to use ML (train models and use them) with Jupyter notebooks. They also have a book whose notebooks are here: https://github.com/fastai/fastbook If you have some maths background (high-school, or first year university), check out Stanford's CS229 with Andrew Ng: https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXSh... I think it's better than