M1: Encode sequential order

T1: Regularization

M16: Likelihood × Prior

ML2: SGD can escape local minima due to its noisy updates

ML3: Recursive Feature Elimination (RFE)

ML4: Gini Index

M4: It overfits the training data

M7: 0

M2: Strong negative linear relationship

S13: No real solution
S17: Local minimum
S23: Converges by Limit Comparison with 1/n²
S30: Collect recent user data and evaluate model drift
S31: Data leakage inflated model performance
S39: 6/216

Amazon ML School MCQ Answers 1:15 PM

Kill the enemy
C++
Amazon 1.15 PM


#include <vector>
#include <algorithm>

int solve(std::vector<int> &A, int B) {
long long m1 = 0, m2 = 0;

for (int val : A) {
if (val > m1) {
m2 = m1;
m1 = val;
} else if (val > m2) {
m2 = val;
}
}

long long b = B;
long long s = m1 + m2;

if (s == 0) {
return b > 0 ? -1 : 0;
}

long long k = b / s;
int ans = k * 2;
long long rem = b % s;

if (rem == 0) {
return ans;
} else if (rem <= m1) {
return ans + 1;
} else {
return ans + 2;
}
}

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Role: Tech Analyst

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ADOBE IS HIRING

SDE -1

APPLY Now

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Location: India
Experience: 0-2 yrs
Apply Direct: https://careers.qualcomm.com/careers/job/446706882405?hl=en-US&domain=qualcomm.com&source=APPLICANT_SOURCE

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Experience: 0 - 2 years
Apply now: https://careers.gehealthcare.com/global/en/job/GEVGHLGLOBALR4028147EXTERNALENGLOBAL/Trainee-Engineer

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2025 batch passouts eligible

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