✅ Linear Algebra – Vectors, matrices, eigenvalues
✅ Calculus – Mostly partial derivatives and chain rule
✅ Probability & Statistics – Bayes theorem, distributions, expectations.
✅ Optimization – Gradient descent, loss functions, regularization
#MachineLearning #DeepLearning
09.04.2025 19:29
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