Machine Learning with Python

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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

Сітка:Machine Learning with Python Індія5 035 Освіта2 411...

📈 Аналітичний огляд Telegram-каналу Machine Learning with Python

Канал Machine Learning with Python (@codeprogrammer) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 67 813 підписників, посідаючи 2 411 місце в категорії Освіта та 5 035 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 67 813 підписників.

За останніми даними від 07 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 55, а за останні 24 години на -2, загальне охоплення залишається високим.

Статус верифікації: Не верифікований
Рівень залученості (ER): Середній показник залученості аудиторії становить 2.62%. Протягом перших 24 годин після публікації контент зазвичай збирає 2.56% реакцій від загальної кількості підписників.
Охоплення публікацій: В середньому кожен допис отримує 1 776 переглядів. Протягом першої доби публікація в середньому набирає 1 734 переглядів.
Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 7.
Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як insidead, learning, degree, evaluation, algorithm.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Завдяки високій частоті оновлень (останні дані отримано 08 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 Освіта.

67 813

Підписники

-224 години

+327 днів

+5530 день

1 776

Перегляди допису

~ 1 73424 години

~ 2 31448 годин

2.62%

Коефіцієнт залучення

~ 4

Дописів на день

Ads index

beta

Архів дописів

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Repost from Learn Python Coding

✨ Topic: Flask Tutorials ✨ 📖 Explore Flask, a popular Python web framework, through these tutorials. Learn key aspects of Flask development. With this knowledge, you'll be able to create robust and scalable web applications using Flask. 🏷️ #26_resources

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🤖🧠 Master Machine Learning: Explore the Ultimate “Machine-Learning-Tutorials” Repository 🗓️ 23 Oct 2025 📚 AI News & Trends In today’s data-driven world, Machine Learning (ML) has become the cornerstone of modern technology from intelligent chatbots to predictive analytics and recommendation systems. However, mastering ML isn’t just about coding, it requires a structured understanding of algorithms, statistics, optimization techniques and real-world problem-solving. That’s where Ujjwal Karn’s Machine-Learning-Tutorials GitHub repository stands out. This open-source, topic-wise ... #MachineLearning #MLTutorials #ArtificialIntelligence #DataScience #OpenSource #AIEducation

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🤖🧠 LangGraph by LangChain-AI: The Framework Powering Stateful, Long-Running AI Agents 🗓️ 23 Oct 2025 📚 AI News & Trends As artificial intelligence continues to reshape industries, one major challenge remains building reliable, stateful and long-running AI agents that can handle complex workflows over time. Traditional AI frameworks often focus on short interactions, lacking the infrastructure to manage persistent states, durable memory or human feedback loops. That’s where LangGraph from LangChain-AI steps in. Trusted by ... #LangGraph #LangChainAI #AIAgents #StatefulAI #LongRunningAgents #ArtificialIntelligence

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🐍 PyTorch for Beginners: All the Basics on Tensors in One Place A collection of basic techniques for working with tensors in PyTorch — for those who are starting to get acquainted with the framework and want to quickly master its fundamentals. What's inside:

▶️ What tensors are and why they are needed ▶️ Tensor initialization: zeros, ones, random, similar size ▶️ Type conversion and switching between NumPy and PyTorch ▶️ Arithmetic, logical operations, tensor comparison ▶️ Matrix multiplication and batch computations ▶️ Broadcasting, view(), reshape(), changing dimensions ▶️ Indexing and slicing: how to access parts of a tensor ▶️ Notebook with code examples

A good starting material to understand the mechanics of tensors before moving on to models and training. ⛓ GitHub link tags: #useful ➡ @codeprogrammer

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I liked this source.

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🤖🧠 OpenSearch for AI Agents: Empowering Intelligent Search and Automation 🗓️ 22 Oct 2025 📚 AI News & Trends As artificial intelligence (AI) continues to evolve, one of the most transformative shifts has been the rise of AI agents – autonomous systems capable of reasoning, interacting, and performing complex tasks. From customer support chatbots to autonomous data analysts, these agents rely heavily on efficient data retrieval mechanisms. However, traditional search systems often struggle to ... #OpenSearch #AIAgents #IntelligentSearch #AIautomation #ArtificialIntelligence #DataRetrieval

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🤖🧠 AgentFly: The Future of Reinforcement Learning for Intelligent Language Model Agents 🗓️ 22 Oct 2025 📚 AI News & Trends AgentFly is a cutting-edge framework developed by researchers at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) to revolutionize how large language models (LLMs) learn and act. It combines the power of reinforcement learning (RL) with language model agents enabling them to go beyond static prompt responses and learn through real-time feedback and experience. ... #ReinforcementLearning #LLMs #LanguageModelAgents #ArtificialIntelligence #AgentFly #AIFramework

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🤖🧠 Unlocking Creativity with Awesome ChatGPT Prompts: The Ultimate Guide for AI Enthusiasts 🗓️ 22 Oct 2025 📚 AI News & Trends Artificial Intelligence has transformed how we create, communicate, and innovate and at the heart of this revolution lies prompt engineering. One of the most powerful tools in this domain is the “Awesome ChatGPT Prompts” repository – a growing collection of creative, technical and professional prompts designed for ChatGPT and other large language models like Claude, ... #ChatGPT #PromptEngineering #AIEnthusiasts #ArtificialIntelligence #LargeLanguageModels #AICreativity

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Python Notes.pdf4.06 KB

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Repost from Machine Learning

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🤖🧠 LandingAI ADE Python SDK: Streamlining AI-Powered Document Understanding 🗓️ 22 Oct 2025 📚 AI News & Trends In the age of AI automation, extracting structured data from documents has become a key part of many business workflows. From invoices and contracts to identity documents and research papers, organizations are relying on AI models to interpret and process information accurately. LandingAI’s ADE Python SDK – an official API client for the LandingAI ADE ... #AIPowered #DocumentUnderstanding #LandingAI #ADEPythonSDK #AIAutomation #DataExtraction

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🤖🧠 The Ultimate #1 Collection of AI Books In Awesome-AI-Books Repository 🗓️ 22 Oct 2025 📚 AI News & Trends Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century. From powering self-driving cars to enabling advanced conversational AI like ChatGPT, AI is redefining how humans interact with machines. However, mastering AI requires a strong foundation in theory, mathematics, programming and hands-on experimentation. For enthusiasts, students and professionals seeking ... #ArtificialIntelligence #AIBooks #MachineLearning #DeepLearning #AIResources #TechBooks

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🤖🧠 Enhancing AI Agent Capabilities with Glean Agent Toolkit: A Complete Guide for Developers 🗓️ 22 Oct 2025 📚 AI News & Trends The evolution of AI agents has transformed how businesses manage knowledge, automate workflows and deliver intelligent support. However, one major challenge remains how to effectively connect these AI agents to enterprise data and productivity tools. This is where the Glean Agent Toolkit steps in. Developed by Glean, a leader in enterprise knowledge discovery, this open-source ... #AIAgents #GleanAgentToolkit #EnterpriseAI #ArtificialIntelligence #DeveloperTools #KnowledgeDiscovery

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🤖🧠 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

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🤖🧠 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 ...

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🤖🧠 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