Assuming you have some exposure to linear algebra, calculus, and a little programming, I recommend Andrew Ng’s machine learning course on youtube. AI: A Modern Approach is still a good textbook, but I think machine learning specifically is where interesting stuff is happening right now.
Sure… but machine learning is very important for AGI, it’s not going to suddenly get replaced with hand-designed agents. This advice might apply better to subfields, like deep neural networks vs. hierarchical Bayesian models.
Assuming you have some exposure to linear algebra, calculus, and a little programming, I recommend Andrew Ng’s machine learning course on youtube. AI: A Modern Approach is still a good textbook, but I think machine learning specifically is where interesting stuff is happening right now.
There is also an argument for doing stuff that’s less in vogue right now.
Sure… but machine learning is very important for AGI, it’s not going to suddenly get replaced with hand-designed agents. This advice might apply better to subfields, like deep neural networks vs. hierarchical Bayesian models.