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I am a first-year electrical engineering undergraduate student. I want to be an Artificial Intelligence scientist, and I want to make contributions to this field like Geoffrey Hinton. I think that AI will be a science soon and it includes neuroscience, computer science, and many other disciplines.
So I have started studied it, but I need to help with creating a road map. Currently, I am taking this class from Udemy https://www.udemy.com/machinelearning/. After finishing this course, I want to take Andrew NG's Coursera class, but I have no idea about what I will do after that. Do you have any suggestion? I want to study on SNN (Spiking Neural Network) and publish an article about this subject during undergraduate.
If you ask me why you take the Udemy course, I answer that I think that I should learn the code side of machine learning firstly, and second the course should give me mathematical intuition.