Well, first of all I learned AI have 5 steps, from finding the specific task that u want ur model to perform, to testing your model. And also learned, that we can go back and forth in these steps, to make our model perform as expected. There are diff types of machine learning techniques out of which supervised, unsupervised, reinforcement are mostly used. Also learned about some of the accuracy scores like f1 and many more. Ahhhh.... silly me i almost forgot to tell about GANs, one that generates data similar to input data.
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