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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
Показати більше📈 Аналітичний огляд Telegram-каналу Machine Learning
Канал Machine Learning (@machinelearning9) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 40 145 підписників, посідаючи 3 375 місце в категорії Технології та додатки та 227 місце у регіоні Сирія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 40 145 підписників.
За останніми даними від 28 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 378, а за останні 24 години на 7, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 2.09%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.91% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 841 переглядів. Протягом першої доби публікація в середньому набирає 766 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 3.
- 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 29 червня, 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.
40 145
Підписники
+724 години
+1147 днів
+37830 день
Архів дописів
40 148
🤖🧠 Mastering Large Language Models: Top #1 Complete Guide to Maxime Labonne’s LLM Course
🗓️ 22 Oct 2025
📚 AI News & Trends
In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have become the foundation of modern AI innovation powering tools like ChatGPT, Claude, Gemini and countless enterprise AI applications. However, building, fine-tuning and deploying these models require deep technical understanding and hands-on expertise. To bridge this knowledge gap, Maxime Labonne, a leading AI ...
#LLM #ArtificialIntelligence #MachineLearning #DeepLearning #AIEngineering #LargeLanguageModels
40 148
🤖🧠 Mastering Large Language Models: Top #1 Complete Guide to Maxime Labonne’s LLM Course
🗓️ 22 Oct 2025
📚 AI News & Trends
In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have become the foundation of modern AI innovation powering tools like ChatGPT, Claude, Gemini and countless enterprise AI applications. However, building, fine-tuning and deploying these models require deep technical understanding and hands-on expertise. To bridge this knowledge gap, Maxime Labonne, a leading AI ...
#LLM #ArtificialIntelligence #MachineLearning #DeepLearning #AIEngineering #LargeLanguageModels
40 148
📌 Agentic AI in Finance: Opportunities and Challenges for Indonesia
🗂 Category: AGENTIC AI
🕒 Date: 2025-10-22 | ⏱️ Read time: 12 min read
The rise of AI has touched nearly every industry — including finance. In fact, the…
40 148
📌 How I Tailored the Resume That Landed Me $100K+ Data Science and ML Offers
🗂 Category: DATA SCIENCE
🕒 Date: 2025-10-20 | ⏱️ Read time: 9 min read
How to write a data science and machine learning resume that actually lands jobs.
40 148
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40 148
📌 How to Use Frontier Vision LLMs: Qwen3-VL
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-10-20 | ⏱️ Read time: 11 min read
Learn how to apply VLMs to advanced document understanding tasks
40 148
40 148
📌 How to Build An AI Agent with Function Calling and GPT-5
🗂 Category: AGENTIC AI
🕒 Date: 2025-10-20 | ⏱️ Read time: 15 min read
How an AI agent works: a step-by-step guide
40 148
🤖🧠 Master Machine Learning with Stanford’s CS229 Cheatsheets: The Ultimate Learning Resource
🗓️ 21 Oct 2025
📚 AI News & Trends
Machine learning is one of the most transformative fields in technology today. From powering recommendation systems to enabling self-driving cars, machine learning is at the core of modern artificial intelligence. However, mastering its vast concepts, equations and algorithms can be overwhelming especially for beginners and busy professionals. That’s where the Stanford CS229 Machine Learning Cheatsheets ...
40 148
🤖🧠 Master Machine Learning with Stanford’s CS229 Cheatsheets: The Ultimate Learning Resource
🗓️ 21 Oct 2025
📚 AI News & Trends
Machine learning is one of the most transformative fields in technology today. From powering recommendation systems to enabling self-driving cars, machine learning is at the core of modern artificial intelligence. However, mastering its vast concepts, equations and algorithms can be overwhelming especially for beginners and busy professionals. That’s where the Stanford CS229 Machine Learning Cheatsheets ...
40 148
🤖🧠 The Art of Scaling Reinforcement Learning Compute for LLMs: Top Insights from Meta, UT Austin and Harvard University
🗓️ 21 Oct 2025
📚 AI News & Trends
As Large Language Models (LLMs) continue to redefine artificial intelligence, a new research breakthrough has emerged from Meta, The University of Texas at Austin, University College London, UC Berkeley, Harvard University and Periodic Labs. Their paper, titled “The Art of Scaling Reinforcement Learning Compute for LLMs,” introduces a transformative framework for understanding how reinforcement learning ...
#ReinforcementLearning #LLMs #AIResearch #Meta #UTAustin #HarvardUniversity
40 148
🤖🧠 The Art of Scaling Reinforcement Learning Compute for LLMs: Top Insights from Meta, UT Austin and Harvard University
🗓️ 21 Oct 2025
📚 AI News & Trends
As Large Language Models (LLMs) continue to redefine artificial intelligence, a new research breakthrough has emerged from Meta, The University of Texas at Austin, University College London, UC Berkeley, Harvard University and Periodic Labs. Their paper, titled “The Art of Scaling Reinforcement Learning Compute for LLMs,” introduces a transformative framework for understanding how reinforcement learning ...
#ReinforcementLearning #LLMs #AIResearch #Meta #UTAustin #HarvardUniversity
40 148
📌 Implementing the Fourier Transform Numerically in Python: A Step-by-Step Guide
🗂 Category: MATH
🕒 Date: 2025-10-21 | ⏱️ Read time: 19 min read
What if the FFT functions in NumPy and SciPy don’t actually compute the Fourier transform…
40 148
📌 Implementing the Fourier Transform Numerically in Python: A Step-by-Step Guide
🗂 Category: MATH
🕒 Date: 2025-10-21 | ⏱️ Read time: 19 min read
What if the FFT functions in NumPy and SciPy don’t actually compute the Fourier transform…
40 148
🤖🧠 DeepSeek-OCR: Redefining Document Understanding Through Optical Context Compression
🗓️ 21 Oct 2025
📚 AI News & Trends
In the age of large language models (LLMs) and vision-language models (VLMs), handling long and complex textual data efficiently remains a massive challenge. Traditional models struggle with processing extended contexts because the computational cost increases quadratically with sequence length. To overcome this, researchers from DeepSeek-AI have introduced a groundbreaking approach – DeepSeek-OCR, a model that ...
40 148
🤖🧠 Wan 2.1: Alibaba’s Open-Source Revolution in Video Generation
🗓️ 21 Oct 2025
📚 AI News & Trends
The landscape of artificial intelligence has been evolving rapidly, especially in the domain of video generation. Since OpenAI unveiled Sora in 2024, the world has witnessed an explosive surge in research and innovation within generative AI. However, most of these cutting-edge tools remained closed-source limiting transparency and accessibility. Recognizing this gap, Alibaba Group introduced Wan, ...
#Alibaba #Wan2.1 #VideoGeneration #GenerativeAI #OpenSource #ArtificialIntelligence
40 148
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40 148
🤖🧠 Top 30 More Retro Bollywood Diwali Portrait Prompts for Women Using Gemini AI – Part 2
🗓️ 20 Oct 2025
📚 AI News & Trends
The Diwali celebrations continue and so does the nostalgia! After the huge buzz around our Top 20 Retro Bollywood Diwali Portrait Ideas, we’re back with Part 2 featuring prompts 21 to 50 curated to help you create even more magical, cinematic AI portraits using Google Gemini AI. If you loved the 90s-style Diwali aesthetics shimmering ...
