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Machine Learning

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Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 Аналітичний огляд Telegram-каналу Machine Learning

Канал Machine Learning (@machinelearning9) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 40 403 підписників, посідаючи 3 324 місце в категорії Технології та додатки та 225 місце у регіоні Сирія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 40 403 підписників.

За останніми даними від 13 липня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 421, а за останні 24 години на 25, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 2.65%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.74% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 1 070 переглядів. Протягом першої доби публікація в середньому набирає 701 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 4.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як distance, insidead, gpu, learning, degree.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Завдяки високій частоті оновлень (останні дані отримано 14 липня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.

40 403
Підписники
+2524 години
+1547 днів
+42130 день
Архів дописів
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Graph Convolutional Network (GCN) by Hand Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2
Graph Convolutional Network (GCN) by Hand Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2017, have emerged as a powerful tool in the analysis and interpretation of data structured as graphs. More: https://www.byhand.ai/p/17-can-you-calculate-a-graph-convolutional

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