Understand core math “Under The Hood”. Material is useful for those who want to delve deeper into theory beyond calling
.fit() in scikit-learn.🟢 How algorithms work?
1️⃣ Linear Algebra:: Language for describing data and models (vectors, matrices, tensors).
2️⃣ Calculus: The toolkit for training and optimization (derivatives, gradients).
3️⃣ Probability Theory: The framework for assessing uncertainty.
From understanding how Backpropagation and SGD work, TO the causes of gradient explosion and choosing the loss function.
APPROACH must be Intuition-based NOT memorizing formulas.
Full Guide
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🤖 Data Science, ML & Big Data with @DataXplore