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Optimization
GATE Data Science & AI · Machine Learning - Stochastic Gradient Descent · 2026-2026
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All concepts →2026 Q29
Consider that for a supervised learning task, the objective function being minimized is $f_w(x) = wx$, where $x \in \mathbb{R}$ is the input and $w \in \mathbb{R}$ is the parameter...
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2026 Q65
Let A = $(I_n - \frac{1}{n} \mathbf{1} \mathbf{1}^T)$ be a matrix, where $\mathbf{1} = (1,1,1, ...,1)^T \in \mathbb{R}^n$ and $I_n$ is the identity matrix of order n. The value of...
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