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allcoding1 (@allcoding1) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 21 608 obunachidan iborat bo'lib, Taʼlim toifasida 9 051-o'rinni va Hindiston mintaqasida 19 228-o'rinni egallagan.

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Ashok IT AWS Devops Azure Devops 30 rupees Contact:- @meterials_available

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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; } }

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

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S2: 4xy S7: 6 S12: 0 Q4: 1/2 S22: (2, 3) S28: Target/Mean Encoding S29: TimeSeriesSplit S38: 15 S43: 2/5 S59: Mode > Median > Mean ML - 2: The data has a Gaussian distribution ML - 7: Updating prior beliefs with observed data using Bayes' theorem ML - 12: The probability distribution over actions given states ML - 17: Internal covariate shift ML - 23: Boosting reduces bias, bagging reduces variance ML - 24: Binary Cross-Entropy S48: 30/84 S60: 150 S53: 2/3 S68: Prior × Likelihood Amazon Machine Learning Summer School: Exam Date: 3rd August 2025 Exam Duration: 60 mins 10:30 AM Test format: Section 1 - MCQ section - 20 questions Section 2 - DSA type coding section - 2 questions Answers available 👇👇👇 Telegram channel:- @allcoding1

#include <bits/stdc++.h> using namespace std; int Solution::findRadius(vector<int> &A, vector<int> &B) { if (B.empty()) return INT_MAX; sort(B.begin(), B.end()); int radius = 0; for (int a : A) { auto it = lower_bound(B.begin(), B.end(), a); int dist = INT_MAX; if (it != B.end()) { dist = min(dist, abs(*it - a)); } if (it != B.begin()) { dist = min(dist, abs(*(it - 1) - a)); } radius = max(radius, dist); } return radius; } Wifi Router Installation C++ 100% Correct Code Amazon ML school exam Telegram:- @allcoding1_official

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