Register

Recent questions tagged go_yt_dpp_ml_day6

0 0 votes
1 1 answer
126
126 views
GO Classes GATE DA | GOAT DPP Series | Machine Learning | DAY 6 | Question: 5
Consider the following two regularized linear regression objectives:$$L_1(w)=\sum_{i=1}^{n}(y_i-w^T x_i)^2+\lambda\sum_{j=1}^{8}w^2_j$$$$L_2(w)=\sum_{i=1}^{n}(y_i-w^T x_i...
User Avatar
0 0 votes
0 0 answers
56
56 views
GO Classes GATE DA | GOAT DPP Series | Machine Learning | DAY 6 | Question: 4
Consider the following dataset for a binary classification problem, where $+$ denotes the positive class and $-$ denotes the negative class.$$\begin{array}{|c|c|c|}\hline...
User Avatar
0 0 votes
0 0 answers
46
46 views
GO Classes GATE DA | GOAT DPP Series | Machine Learning | DAY 6 | Question: 3
Given $n$ linearly independent feature vectors in $n$ dimensions, each assigned a label from $\{-1,+1\}$, consider a linear classifier of the form $\operatorname{sign}(w\...
User Avatar
0 0 votes
0 0 answers
46
46 views
GO Classes GATE DA | GOAT DPP Series | Machine Learning | DAY 6 | Question: 2
Consider a regression model $h(x)=2x$ with the following loss function:$$L_{\mathrm{OINK}}(\hat{y},y)=\begin{cases}a(\hat{y}-y), & \hat{y}\geq y,\\b(y-\hat{y}), & \hat{y}...
User Avatar
1 1 vote
0 0 answers
46
46 views
GO Classes GATE DA | GOAT DPP Series | Machine Learning | DAY 6 | Question: 1
Consider the following regularized linear regression objective function:$$L(w,b)=\sum_{i=1}^{n}(y_i-w^T x_i-b)^2+\lambda w^T D w$$where $D$ is a fixed diagonal matrix cho...
User Avatar
To see more, click for the full list of questions or popular tags.