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allcoding1_official

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allcoding1_official (@allcoding1_official) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 85 822 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 1 503-o'rinni va Hindiston mintaqasida 3 558-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 85 822 obunachiga ega bo‘ldi.

17 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -1 568 ga, so‘nggi 24 soatda esa -42 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 3.64% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.82% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 3 127 marta ko‘riladi; birinchi sutkada odatda 701 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent dsa, stack, namaste, javascript, dev kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Kanal uchun tavsif kiritilmagan.

Yuqori yangilanish chastotasi (oxirgi ma’lumot 18 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

85 822
Obunachilar
-4224 soatlar
-3887 kunlar
-1 56830 kunlar
Postlar arxiv

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

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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

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 ML School 100% Correct MCQ Answers 10:30 AM

Mode>median>mean
Mode>median>mean

C
C

Prior x Likelihood
Prior x Likelihood

150
150

30/84
30/84

4
4

4xy
4xy