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For practical purpose : Fast AI course would be ideal. To get into the theory side of things : Deep Learning Specialization from Coursera taught by Andrew NG.
by cyberdata 4y ago
For practical purpose : Fast AI course would be ideal.
To get into the theory side of things : Deep Learning Specialization
from Coursera taught by Andrew NG.
- meltyness 4y agoHe's young, and could benefit from a more serious theoretical framing. Ng's focus is on the theory of statistical ML, but there's a whole classical side to AI and statistical learning is a subset. That's where I would want to look for theory. Most recent advancements in StatML just come from classical systems engineering permutations of the plug-and-chug ANN (let's cascade them! let's use different algebraic relationships! let's use frequency domain!) P. H. Winston (RIP) wrote a very nice book, and course regarding AI and how it may arise from what are considered intelligent processes. https://youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi https://youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQ... Unless you're simply trying to build or experiment some specific design, best not to fasten your mind to a specific tech stack.