Advanced Math Archive: Questions from September 07, 2022
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Prove normalized equation Locally Weighted Linear Regression π = (π πππ)^β1 π^π πy.
FΓ³rmula para minimizar \( J(\theta) \) en LWR Para ajustar \( \theta \) con el fin de minimizar \( J(\theta) \) \[ J(\theta)=\frac{1}{2 m} \sum_{i}^{m} w^{(i)}\left(\theta^{T} x^{(i)}-y^{(i)}\right)^1 answer -
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4. Solve IVP: \( \left\{\begin{array}{l}y^{\prime}-\frac{3}{t} y=\frac{t^{3}}{2 e^{t}} \text {. } \\ y(0)=1\end{array}\right. \).0 answers -
Solve the following differential equations.
1) \( y^{\prime \prime}+8 y^{\prime}+16 y=4 x \) 2) \( y^{\prime \prime}+4 y^{\prime}+5 y=35 e^{-4 x} \operatorname{con} y(0)=-3 \) y \( y^{\prime}(0)=1 \)1 answer -
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