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://mod

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://modelzoo.co/ https://github.com/tensorflow/models https://github.com/tensorflow/models https://cv.gluon.ai/model_zoo/index.html 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 https://course18.fast.ai/ml.html (for Machine Learning (ML)) https://www.fast.ai 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 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=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXSh... I think it's better than the Coursera version because he uses the board (whiteboard in 2018, blackboard in 2008-ish version)