ru
Feedback
Machine Learning

Machine Learning

Открыть в Telegram

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

Больше

📈 Аналитический обзор Telegram-канала Machine Learning

Канал Machine Learning (@machinelearning9) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 151 подписчиков, занимая 3 380 место в категории Технологии и приложения и 228 место в регионе Сирия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 151 подписчиков.

Согласно последним данным от 29 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 380, а за последние 24 часа — 3, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.08%. В первые 24 часа после публикации контент обычно набирает 1.91% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 837 просмотров. В течение первых суток публикация набирает 766 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как distance, insidead, gpu, learning, degree.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Благодаря высокой частоте обновлений (последние данные получены 30 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

40 151
Подписчики
+324 часа
+1157 дней
+38030 день
Архив постов
📌 Back to Basics: Databases, SQL, and Other Data-Processing Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-20 | ⏱️ Re
📌 Back to Basics: Databases, SQL, and Other Data-Processing Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-20 | ⏱️ Read time: 3 min read Our weekly selection of must-read Editors’ Picks and original features

Ever wondered how movie insiders get the hottest premieres BEFORE anyone else? I stumbled onto a secret channel where A-liste
Ever wondered how movie insiders get the hottest premieres BEFORE anyone else? I stumbled onto a secret channel where A-listers and true movie fans grab hidden gems, unreleased trailers, and wild backstage stories. Don’t miss the next big reveal — find out here. #ad InsideAds

📌 Should You Join FAANG or a Startup as a Data Scientist? 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-20 | ⏱️ Read time: 11
📌 Should You Join FAANG or a Startup as a Data Scientist? 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-20 | ⏱️ Read time: 11 min read Lessons from working at Uber + Meta, a growth stage company and a tiny startup

📌 Why You (Currently) Do Not Need Deep Learning for Time Series Forecasting 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-20 |
📌 Why You (Currently) Do Not Need Deep Learning for Time Series Forecasting 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-20 | ⏱️ Read time: 14 min read What you need instead: Learnings from the Makridakis M5 competitions and the 2023 Kaggle AI…

📌 How Do Computers Actually Remember? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-20 | ⏱️ Read time: 15 min read A Budding Da
📌 How Do Computers Actually Remember? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-20 | ⏱️ Read time: 15 min read A Budding Data Scientist’s Introduction to Computer Hardware

📌 How I Created a Kaggle-Like Platform for My Students Using Streamlit and How You Can Do It as Well 🗂 Category: DATA SCIEN
📌 How I Created a Kaggle-Like Platform for My Students Using Streamlit and How You Can Do It as Well 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-20 | ⏱️ Read time: 29 min read Gamify machine learning student projects with Streamlit and Google Sheets

📌 Understanding Techniques for Solving GenAI Challenges 🗂 Category: 🕒 Date: 2024-06-20 | ⏱️ Read time: 19 min read Dive in
📌 Understanding Techniques for Solving GenAI Challenges 🗂 Category: 🕒 Date: 2024-06-20 | ⏱️ Read time: 19 min read Dive into model pre-training, fine-tuning, RAG, prompt engineering, and more!

📌 Transforming Next-Token Prediction into Classification with LLMs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-20 | ⏱️ Re
📌 Transforming Next-Token Prediction into Classification with LLMs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-20 | ⏱️ Read time: 7 min read From tokens to labels: Performing classification with large language models

📌 Voyage Multilingual 2 Embedding Evaluation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-20 | ⏱️ Read time: 11 min
📌 Voyage Multilingual 2 Embedding Evaluation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-20 | ⏱️ Read time: 11 min read Compared to OpenAI, Cohere, Google, and E5

📌 3 Painful Mistakes I Made as a Junior Data Scientist 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-21 | ⏱️ Read time: 6 min
📌 3 Painful Mistakes I Made as a Junior Data Scientist 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-21 | ⏱️ Read time: 6 min read Learn from them to fast-track your career today

📌 Enhancing Marketing Mix Modelling with Causal AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-21 | ⏱️ Read time:
📌 Enhancing Marketing Mix Modelling with Causal AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-21 | ⏱️ Read time: 8 min read Causal AI, exploring the integration of causal reasoning into machine learning

📌 Guiding an LLM’s Response to Create Structured Output 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-21 | ⏱️ Read time: 11
📌 Guiding an LLM’s Response to Create Structured Output 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-21 | ⏱️ Read time: 11 min read Learn how to structure a language model’s response to ensure that the response format is…

📌 Simplifying Support Vector Machines – A Concise Introduction into Binary Classification 🗂 Category: ARTIFICIAL INTELLIGEN
📌 Simplifying Support Vector Machines – A Concise Introduction into Binary Classification 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-21 | ⏱️ Read time: 7 min read MLBasics #4: The Binary Classification King – A Journey Through Support Vector Machines

📌 Creating a Streamlit App for Satellite Imagery Visualization: A Step-by-Step Guide 🗂 Category: DATA VISUALIZATION 🕒 Date
📌 Creating a Streamlit App for Satellite Imagery Visualization: A Step-by-Step Guide 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-06-21 | ⏱️ Read time: 11 min read Explore any point on Earth at any time using satellite data with Streamlit

📌 Entity-Resolved Knowledge Graphs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-21 | ⏱️ Read time: 5 min read New words. Old c
📌 Entity-Resolved Knowledge Graphs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-21 | ⏱️ Read time: 5 min read New words. Old concepts. In the end, it’s about data fusion.

📌 Deep Learning Illustrated, Part 5: Long Short-Term Memory (LSTM) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-21
📌 Deep Learning Illustrated, Part 5: Long Short-Term Memory (LSTM) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-21 | ⏱️ Read time: 8 min read An illustrated and intuitive guide on the inner workings of an LSTM

📌 Beyond Kleinberg’s Impossibility Theorem of Clustering: A Pragmatic Clustering Evaluation Framework 🗂 Category: 🕒 Date:
📌 Beyond Kleinberg’s Impossibility Theorem of Clustering: A Pragmatic Clustering Evaluation Framework 🗂 Category: 🕒 Date: 2024-06-21 | ⏱️ Read time: 15 min read This article explores a pragmatic evaluation framework for clustering under the constraint of Kleinberg’s Impossibility…

📌 Challenges and Solutions in Data Mesh – Part 3 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-06-21 | ⏱️ Read time: 12 min re
📌 Challenges and Solutions in Data Mesh – Part 3 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-06-21 | ⏱️ Read time: 12 min read A practical approach to achieving interoperability in the data mesh through federated enterprise data modeling

📌 Validating Data in a Production Pipeline: The TFX Way 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-22 | ⏱️ Read time: 10 min
📌 Validating Data in a Production Pipeline: The TFX Way 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-22 | ⏱️ Read time: 10 min read A deep dive into data validation using Tensorflow Data Validation

📌 330 Weeks of Data Visualizations: My Journey and Key Takeaways 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-22 | ⏱️ Read ti
📌 330 Weeks of Data Visualizations: My Journey and Key Takeaways 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-22 | ⏱️ Read time: 7 min read How consistent practice in data visualization enhanced my data science skills