Fundamentals of Generative Artificial Intelligence (AI)

CT Score

1500

#0 of 0 in DATASCI

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9.8%

57.6%

18.2%

8.1%

2.7%

1.2%

0.9%

0.3%

0.9%

0.3%

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DATASCI 207. AND MIDS students only. Students need to know what gradient descent is. Simple linear classifiers and softmax are reviewed in the course at a high level, but students should have at least heard of these terms. Linear algebra required, which is used for vector representations and deep learning in the course. Intermediate competency in Python required. Experience in PyTorch recommended.→DATASCI 267→unlocks 0 courses

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