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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
Больше📈 Аналитический обзор Telegram-канала Machine Learning
Канал Machine Learning (@machinelearning9) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 150 подписчиков, занимая 3 364 место в категории Технологии и приложения и 227 место в регионе Сирия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 150 подписчиков.
Согласно последним данным от 27 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 412, а за последние 24 часа — 5, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 1.96%. В первые 24 часа после публикации контент обычно набирает 1.89% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 785 просмотров. В течение первых суток публикация набирает 760 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
- 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 28 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.
40 150
Подписчики
+524 часа
+1067 дней
+41230 день
Архив постов
40 154
📌 The Trap of Sprints: Don’t Be Like Scarlett O’Hara. Think Today!
🗂 Category: AGILE
🕒 Date: 2024-06-03 | ⏱️ Read time: 11 min read
Why data scientists should prioritize communication and flexibility in agile projects
40 154
📌 A Deep Dive into Fine-Tuning
🗂 Category: NATURAL LANGUAGE PROCESSING
🕒 Date: 2024-06-03 | ⏱️ Read time: 30 min read
Stepping out of the “comfort zone” – part 3/3 of a deep-dive into domain adaptation…
40 154
📌 The Meaning of Explainability for AI
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-06-04 | ⏱️ Read time: 10 min read
Do we still care about how our machine learning does what it does?
40 154
📌 Understanding You Only Cache Once
🗂 Category:
🕒 Date: 2024-06-04 | ⏱️ Read time: 11 min read
This blog post will go in detail on the “You Only Cache Once: Decoder-Decoder Architectures…
40 154
📌 The Math Behind Gated Recurrent Units
🗂 Category: DEEP LEARNING
🕒 Date: 2024-06-04 | ⏱️ Read time: 33 min read
Dive into advanced deep learning with gated recurrent units (GRUs), understand their mathematics, and implement…
40 154
📌 Effective Strategies for Managing ML Initiatives
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-04 | ⏱️ Read time: 7 min read
Embracing uncertainty, right people, and learning from the data
40 154
📌 Data Disruptions to Elevate Entity Embeddings
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-06-04 | ⏱️ Read time: 15 min read
Injecting random values during neural network training can help you get more from your categoricals
40 154
📌 Predicting Chicago Taxi Trips with R Time Series Model – BSTS
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-04 | ⏱️ Read time: 9 min read
Step-by-step tutorial on how to forecast number of taxi trips using R time series model
40 154
📌 How to Build Guardrails for Effective Agents
🗂 Category: LLM APPLICATIONS
🕒 Date: 2025-10-19 | ⏱️ Read time: 7 min read
Learn how to set up effective guardrails to enforce desired behaviour from your agents
40 154
📌 Conceptual Frameworks for Data Science Projects
🗂 Category: DATA SCIENCE
🕒 Date: 2025-10-19 | ⏱️ Read time: 18 min read
An overview of common framework types and a simple process for building custom frameworks
40 154
Repost from Free Online Courses
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40 154
📌 “Sparks of Chemical Intuition”-and Gross Limitations!-in AlphaFold 3
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-06-05 | ⏱️ Read time: 20 min read
Observations after 3 weeks of DeepMind releasing its hitherto most advanced model for biomolecular structure…
40 154
📌 Slicing in Python: A Comprehensive Guide
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-05 | ⏱️ Read time: 32 min read
Master Python slicing: from lists and tuples to NumPy arrays and Pandas dataframes, plus custom…
40 154
🤖🧠 Unleashing the Power of AI with Open Agent Builder: A Visual Workflow Tool for AI Agents
🗓️ 19 Oct 2025
📚 AI News & Trends
In today’s rapidly advancing technological landscape, artificial intelligence (AI) is not just a buzzword, it’s a transformative force across industries. From automating complex tasks to streamlining operations, AI is revolutionizing workflows. However, designing and deploying AI-driven workflows has traditionally required expert-level programming knowledge. Enter Open Agent Builder, a revolutionary tool that democratizes the creation of ...
#AI #ArtificialIntelligence #OpenAgentBuilder #AIAgents #VisualWorkflow #TechInnovation
40 154
📌 The One Billion Row Challenge in Julia
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-05 | ⏱️ Read time: 9 min read
What can data scientists learn should they choose to accept this mission?
40 154
📌 The 5 Data Science Skills You Can’t Ignore in 2024
🗂 Category: CAREER ADVICE
🕒 Date: 2024-06-05 | ⏱️ Read time: 18 min read
Boost your career with these essential data science skills
40 154
📌 Business Planning with Python – Inventory and Cash Flow Management
🗂 Category: ANALYTICS
🕒 Date: 2024-06-05 | ⏱️ Read time: 15 min read
Business planning of small businesses to manage inventory, predict liquidity needs and maximize profitability with…
40 154
📌 How to Deploy ML Solutions with FastAPI, Docker, and GCP
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-05 | ⏱️ Read time: 11 min read
A hands-on guide with Python example code
40 154
📌 Solving a Resource Planning Problem with Mathematical Programming and Column Generation
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-05 | ⏱️ Read time: 25 min read
Solving the minimum vertex coloring problem via column generation
40 154
📌 Why do Computers even use Binary?
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-05 | ⏱️ Read time: 9 min read
A Budding Data Scientist’s Introduction to Computer Hardware
