Machine Learning

前往频道在 Telegram

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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网络:Machine Learning with Python 叙利亚227 技术与应用3 364...

📈 Telegram 频道 Machine Learning 的分析概览

频道 Machine Learning (@machinelearning9) 英语语言赛道中的是活跃参与者。目前社区聚集了 40 150 名订阅者，在 技术与应用 类别中位列第 3 364，并在 叙利亚 地区排名第 227 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 40 150 名订阅者。

根据 27 六月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 412，过去 24 小时变化为 5，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 1.96%。内容发布后 24 小时内通常能获得 1.89% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 785 次浏览，首日通常累积 760 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 2。
主题关注点： 内容集中在 distance, insidead, gpu, learning, degree 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho”

凭借高频更新（最新数据采集于 28 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。

40 150

订阅者

+524 小时

+1067 天

+41230 天

785

帖子浏览量

~ 76024 小时

~ 1 06948 小时

1.96%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 152

📌 How We Are Testing Our Agents in Dev 🗂 Category: AGENTIC AI 🕒 Date: 2025-12-06 | ⏱️ Read time: 5 min read Testing that your AI agent is performing as expected is not easy. Here are a… #DataScience #AI #Python

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🤖🧠 Whisper by OpenAI: The Revolution in Multilingual Speech Recognition 🗓️ 25 Nov 2025 📚 AI News & Trends Speech recognition has evolved rapidly over the past decade, transforming the way we interact with technology. From voice assistants to transcription services and real-time translation tools, the ability of machines to understand human speech has redefined accessibility, communication and automation. However, one of the major challenges that persisted for years was achieving robust, multilingual and ... #Whisper #MultilingualSpeechRecognition #OpenAI #SpeechRecognition #AIAccessibility #VoiceTechnology

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🤖🧠 Omnilingual ASR: Meta’s Breakthrough in Multilingual Speech Recognition for 1600+ Languages 🗓️ 24 Nov 2025 📚 AI News & Trends In an increasingly connected world, speech technology plays a vital role in bridging communication gaps across languages and cultures. Yet, despite rapid progress in Automatic Speech Recognition (ASR), most commercial systems still cater to only a few dozen major languages. Billions of people who speak lesser-known or low-resource languages remain excluded from the benefits of ... #OmnilingualASR #MultilingualSpeechRecognition #MetaAI #LowResourceLanguages #SpeechTechnology #GlobalCommunication

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🤖🧠 LEANN: The Bright Future of Lightweight, Private, and Scalable Vector Databases 🗓️ 24 Nov 2025 📚 AI News & Trends In the rapidly expanding world of artificial intelligence, data storage and retrieval efficiency have become major bottlenecks for scalable AI systems. The growth of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) has further intensified the demand for fast, private and space-efficient vector databases. Traditional systems like FAISS or Milvus while powerful, are resource-heavy and ... #LEANN #LightweightVectorDatabases #PrivateAI #ScalableAI #RAG #AIDataStorage

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🤖🧠 Reducing Hallucinations in Vision-Language Models: A Step Forward with VisAlign 🗓️ 24 Nov 2025 📚 AI News & Trends As artificial intelligence continues to evolve, Large Vision-Language Models (LVLMs) have revolutionized how machines understand and describe the world. These models combine visual perception with natural language understanding to perform tasks such as image captioning, visual question answering and multimodal reasoning. Despite their success, a major problem persists – hallucination. This issue occurs when a ... #VisAlign #ReducingHallucinations #VisionLanguageModels #LVLMs #MultimodalAI #AISafety

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📌 The Machine Learning “Advent Calendar” Day 6: Decision Tree Regressor 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-12-06 | ⏱️ Read time: 10 min read During the first days of this Machine Learning Advent Calendar, we explored models based on… #DataScience #AI #Python

40 152

🤖🧠 DeepEyesV2: The Next Leap Toward Agentic Multimodal Intelligence 🗓️ 23 Nov 2025 📚 AI News & Trends The evolution of artificial intelligence has reached a stage where models are no longer limited to understanding text or images independently. The emergence of multimodal AI systems capable of processing and reasoning across multiple types of data has transformed how machines interpret the world. Yet, most existing multimodal models remain passive observers, unable to act ... #DeepEyesV2 #AgenticMultimodalIntelligence #MultimodalAI #AIEvolution #ActiveReasoning #AIAction

40 152

Repost from Machine Learning with Python

Our Group on Signal (only for Programmers) https://signal.group/#CjQKIPcpEqLQow53AG7RHjeVk-4sc1TFxyym3r0gQQzV-OPpEhCPw_-kRmJ8LlC13l0WiEfp

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🤖🧠 Agent-o-rama: The End-to-End Platform Transforming LLM Agent Development 🗓️ 23 Nov 2025 📚 AI News & Trends As large language models (LLMs) become more capable, developers are increasingly using them to build intelligent AI agents that can perform reasoning, automation and decision-making tasks. However, building and managing these agents at scale is far from simple. Challenges such as monitoring model behavior, debugging reasoning paths, testing reliability and tracking performance metrics can make ... #AgentoRama #LLMAgents #EndToEndPlatform #AIIntelligence #ModelMonitoring #AIDevelopment

40 152

🤖🧠 CALM: Revolutionizing Large Language Models with Continuous Autoregressive Learning 🗓️ 23 Nov 2025 📚 AI News & Trends Large Language Models (LLMs) such as GPT, Claude and Gemini have dramatically transformed artificial intelligence. From generating natural text to assisting in code and research, these models rely on one fundamental process: autoregressive generation predicting text one token at a time. However, this sequential nature poses a critical efficiency bottleneck. Generating text token by token ... #CALM #ContinuousAutoregressiveLearning #LargeLanguageModels #AutoregressiveGeneration #AIEfficiency #AIInnovation

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🤖🧠 Supervised Reinforcement Learning: A New Era of Step-Wise Reasoning in AI 🗓️ 23 Nov 2025 📚 AI News & Trends In the evolving landscape of artificial intelligence, large language models (LLMs) like GPT, Claude and Qwen have demonstrated remarkable abilities from generating human-like text to solving complex problems in mathematics, coding, and logic. Yet, despite their success, these models often struggle with multi-step reasoning, especially when each step depends critically on the previous one. Traditional ... #SupervisedReinforcementLearning #StepWiseReasoning #ArtificialIntelligence #LargeLanguageModels #MultiStepReasoning #AIBreakthrough

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📌 Reading Research Papers in the Age of LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-12-06 | ⏱️ Read time: 10 min read How I keep up with papers with a mix of manual and AI-assisted reading #DataScience #AI #Python

40 152

Repost from Machine Learning with Python

If you want to truly understand how AI systems like #GPT, #Claude, #Llama or #Mistral work at their core, these 85 foundational concepts are essential. The visual below breaks down the most important ideas across the full #AI and #LLM landscape. https://t.me/CodeProgrammer ✅

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📌 The Best Data Scientists are Always Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-12-04 | ⏱️ Read time: 7 min read Why continuous learning matters & how to come up with topics to study #DataScience #AI #Python

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📌 Bootstrap a Data Lakehouse in an Afternoon 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-12-04 | ⏱️ Read time: 12 min read Using Apache Iceberg on AWS with Athena, Glue/Spark and DuckDB #DataScience #AI #Python

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📌 Build and Deploy Your First Supply Chain App in 20 Minutes 🗂 Category: PROGRAMMING 🕒 Date: 2025-12-04 | ⏱️ Read time: 21 min read A factory operator that discovered happiness by switching from notebook to streamlit – (Image Generated… #DataScience #AI #Python

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📌 The Machine Learning “Advent Calendar” Day 4: k-Means in Excel 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-12-04 | ⏱️ Read time: 7 min read Discover how to implement the k-Means clustering algorithm, a fundamental machine learning technique, using only Microsoft Excel. This guide, part of a "Machine Learning Advent Calendar" series, walks through building a training algorithm from scratch in a familiar spreadsheet environment, demystifying what "real" ML looks like in practice. #MachineLearning #kMeans #Excel #DataScience #Tutorial

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📌 Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem 🗂 Category: DEEP LEARNING 🕒 Date: 2025-12-04 | ⏱️ Read time: 16 min read A new NeurIPS 2025 paper suggests that traditional labels may hinder an AI's holistic image understanding, a challenge known as the "binding problem." Research shows that self-supervised learning methods can overcome this, significantly improving the capabilities of Vision Transformers (ViT) by allowing them to better integrate various visual features without explicit labels. This breakthrough points to a future where models learn more like humans, leading to more robust and nuanced computer vision. #AI #SelfSupervisedLearning #ComputerVision #ViT

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📌 On the Challenge of Converting TensorFlow Models to PyTorch 🗂 Category: DEEP LEARNING 🕒 Date: 2025-12-05 | ⏱️ Read time: 19 min read Converting legacy TensorFlow models to PyTorch presents significant challenges but offers opportunities for modernization and optimization. This guide explores the common hurdles in the migration process, from architectural differences to API incompatibilities, and provides practical strategies for successfully upgrading your AI/ML pipelines. Learn how to not only convert but also enhance your models for better performance and maintainability in the PyTorch ecosystem. #PyTorch #TensorFlow #ModelConversion #MLOps #DeepLearning

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📌 YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-12-05 | ⏱️ Read time: 17 min read A deep dive into the original YOLOv1 paper, exploring the revolutionary "You Only Look Once" algorithm. This technical walkthrough breaks down the foundational object detection architecture and guides readers through a complete implementation from scratch using PyTorch. It's an essential resource for understanding the core mechanics of single-shot detectors and the history of computer vision. #YOLO #ObjectDetection #ComputerVision #PyTorch