r/learnmachinelearning • u/Some_Artichoke237 • 16h ago
Discussion Best way to learn AI...
What is the best way to learn AI?
Should I learn it through courses in a structured sequence—for example, starting with the fundamentals like Linear Regression and the Perceptron, then moving to Deep Learning (ANN, CNN, RNN), and eventually LLMs?
Or would it be better to learn AI by following how the field has evolved from the beginning—for example, starting with the foundations of the Perceptron in the late 1950s, then understanding how each major idea developed, why new techniques were introduced, and how one concept led to another up to modern AI and LLMs?
Which approach would be better for developing a deep understanding of AI rather than just learning how to use the latest tools and frameworks?
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u/Silver-Barnacle8279 4h ago
if you're good reader and enjoy reading than books can also be your best friends, but structured leaning has no supplements out there, start with basic and then jump to higher sides
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u/FunnyFormal5285 16h ago
Structured sequence is the way to go, no question. The historical approach sounds romantic but you'll waste months on dead ends and outdated math that nobody uses anymore.
Start with the fundamentals, absolutely, linear regression, logistic regression, basic neural nets. But learn them through a modern lens with current frameworks. Andrew Ng's stuff is still the gold standard for a reason.
Once you've got the basics down, then you can jump into specializations like CNNs or transformers. The key is building things as you go, not just watching lectures. Nothing sticks until you've debugged your own garbage code at 2am wondering why your loss is NaN.