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230 技术与应用3 371...

📈 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 40 140 名订阅者，在 技术与应用 类别中位列第 3 371，并在 叙利亚 地区排名第 230 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 40 140 名订阅者。

根据 26 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 429，过去 24 小时变化为 20，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 1.83%。内容发布后 24 小时内通常能获得 1.60% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 735 次浏览，首日通常累积 643 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 27 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。

40 140

订阅者

+2024 小时

+1017 天

+42930 天

735

帖子浏览量

~ 64324 小时

~ 87748 小时

1.83%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

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📌 How Deep Feature Embeddings and Euclidean Similarity Power Automatic Plant Leaf Recognition 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-11-18 | ⏱️ Read time: 14 min read Automatic plant leaf recognition leverages deep feature embeddings to transform leaf images into dense numerical vectors in a high-dimensional space. By calculating the Euclidean similarity between these vector representations, machine learning models can accurately identify and classify plant species. This computer vision technique provides a powerful and scalable solution for botanical and agricultural applications, moving beyond traditional manual identification methods. #ComputerVision #MachineLearning #DeepLearning #FeatureEmbeddings #ImageRecognition

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📌 Why LLMs Aren’t a One-Size-Fits-All Solution for Enterprises 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-11-18 | ⏱️ Read time: 10 min read While Large Language Models (LLMs) excel at extracting value from unstructured enterprise data, they are not a one-size-fits-all solution. Adopting this technology requires a nuanced strategy that considers specific business needs, data privacy, and model customization. For enterprises, understanding the limitations of LLMs is as crucial as recognizing their potential, ensuring a tailored approach is taken to achieve real-world ROI and avoid common implementation pitfalls. #LLM #EnterpriseAI #AIStrategy #GenAI

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📌 How to Build an Over-Engineered Retrieval System 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-11-18 | ⏱️ Read time: 53 min read This article breaks down the process of building a deliberately complex, or 'over-engineered,' retrieval system. It offers a practical look at advanced architectures and methods that, despite their complexity, are used in real-world scenarios for powerful information retrieval and RAG applications. It's an exploration of intricate designs that are surprisingly common in practice. #RAG #SystemDesign #SoftwareArchitecture #InformationRetrieval

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No one believed trading could be this easy—until I found one signal channel that nailed every BTC move! Want to finally see all targets hit, profit after profit? Check this out now before it’s gone. Your next win is waiting! #ad InsideAds

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📌 Introducing ShaTS: A Shapley-Based Method for Time-Series Models 🗂 Category: DATA SCIENCE 🕒 Date: 2025-11-17 | ⏱️ Read time: 9 min read Explaining time-series models with standard tabular Shapley methods can be misleading as they ignore crucial temporal dependencies. A new method, ShaTS (Shapley-based Time-Series), is introduced to solve this problem. Specifically designed for sequential data, ShaTS provides more accurate and reliable interpretations for time-series model predictions, addressing a critical gap in explainable AI for this data type. #ExplainableAI #TimeSeries #ShapleyValues #MachineLearning

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📌 Javascript Fatigue: HTMX Is All You Need to Build ChatGPT — Part 2 🗂 Category: PROGRAMMING 🕒 Date: 2025-11-17 | ⏱️ Read time: 16 min read Feeling JavaScript fatigue? This follow-up tutorial demonstrates how to build a complete ChatGPT-like application using the simplicity of HTMX. Part 2 dives deeper into creating rich, server-rendered interactivity for your web projects, offering a powerful alternative to complex JavaScript frameworks. Learn to leverage HTML attributes for dynamic user experiences without writing extensive client-side code. #HTMX #WebDev #JavaScript #ChatGPT

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📌 Understanding Convolutional Neural Networks (CNNs) Through Excel 🗂 Category: DEEP LEARNING 🕒 Date: 2025-11-17 | ⏱️ Read time: 12 min read Demystify the 'black box' of deep learning by exploring Convolutional Neural Networks (CNNs) with a surprising tool: Microsoft Excel. This hands-on approach breaks down the fundamental operations of CNNs, such as convolution and pooling layers, into understandable spreadsheet calculations. By visualizing the mechanics step-by-step, this method offers a uniquely intuitive and accessible way to grasp how these powerful neural networks learn and process information, making complex AI concepts tangible for developers and data scientists at any level. #DeepLearning #CNN #MachineLearning #Excel #AI

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📌 Javascript Fatigue: HTMX is all you need to build ChatGPT — Part 1 🗂 Category: PROGRAMMING 🕒 Date: 2025-11-17 | ⏱️ Read time: 12 min read Tired of complex JavaScript frameworks? This article demonstrates how to build a dynamic, ChatGPT-style chatbot using a simpler stack. Learn how to leverage the power of HTMX, Python, and standard HTML to create a modern web application while minimizing your reliance on JavaScript. This first part of a series sets the foundation for building interactive UIs with a backend-centric approach, directly addressing the common issue of JavaScript fatigue. #HTMX #Python #WebDevelopment #JavaScriptFatigue

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📌 The Absolute Beginner’s Guide to Pandas DataFrames 🗂 Category: DATA SCIENCE 🕒 Date: 2025-11-17 | ⏱️ Read time: 5 min read New to the Pandas library? This beginner's guide covers the fundamental skill of creating DataFrames. Learn the essential techniques to initialize a DataFrame from common Python data structures, including dictionaries, lists, and NumPy arrays. Mastering this core concept is the perfect first step for anyone starting their data analysis journey in Python. #Python #Pandas #DataAnalysis #DataFrames

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Repost from Free Online Courses

https://t.me/DataScienceY

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Repost from Machine Learning with Python

🤖🧠 The Transformer Architecture: How Attention Revolutionized Deep Learning 🗓️ 11 Nov 2025 📚 AI News & Trends The field of artificial intelligence has witnessed a remarkable evolution and at the heart of this transformation lies the Transformer architecture. Introduced by Vaswani et al. in 2017, the paper “Attention Is All You Need” redefined the foundations of natural language processing (NLP) and sequence modeling. Unlike its predecessors – recurrent and convolutional neural networks, ... #TransformerArchitecture #AttentionMechanism #DeepLearning #NaturalLanguageProcessing #NLP #AIResearch

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📌 Stop Worrying about AGI: The Immediate Danger is Reduced General Intelligence (RGI) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-11-16 | ⏱️ Read time: 7 min read While the tech world debates the distant threat of AGI, a more immediate danger looms: Reduced General Intelligence (RGI). This concept warns of the potential for human cognitive skills to atrophy from over-reliance on AI systems. The article argues that the solution is not to avoid AI, but to use it consciously and deliberately, ensuring it augments our intelligence rather than replaces it. This approach fosters a healthier human-AI collaboration and mitigates the risk of cognitive decline in the age of automation. #RGI #AGI #AIethics #CognitiveSkills

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🤖🧠 Context Engineering 2.0: Redefining Human–Machine Understanding 🗓️ 16 Nov 2025 📚 AI News & Trends As artificial intelligence advances, machines are becoming increasingly capable of understanding and responding to human language. Yet, one crucial challenge remains how can machines truly understand the context behind human intentions? This question forms the foundation of context engineering, a discipline that focuses on designing, organizing and managing contextual information so that AI systems can ... #ContextEngineering #AIEducation #HumanMachineUnderstanding #AIContext #NaturalLanguageProcessing #AIModels

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🤖🧠 OpenAI Evals: The Framework Transforming LLM Evaluation and Benchmarking 🗓️ 16 Nov 2025 📚 AI News & Trends As large language models (LLMs) continue to reshape industries from education and healthcare to marketing and software development – the need for reliable evaluation methods has never been greater. With new models constantly emerging, developers and researchers require a standardized system to test, compare and understand model performance across real-world scenarios. This is where OpenAI ... #OpenAIEvals #LLMEvaluation #Benchmarking #LargeLanguageModels #AIResearch #ModelEvaluation

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📌 I Built an IOS App in 3 Days with Literally No Prior Swift Knowledge 🗂 Category: AI APPLICATIONS 🕒 Date: 2025-11-16 | ⏱️ Read time: 6 min read A developer shares their experience of building a functional iOS app in only three days without any prior Swift knowledge. This journey highlights the power of leveraging AI tools and a "vibe coding" approach to overcome steep learning curves and accelerate the development process. The article offers practical insights for aspiring solopreneurs and developers looking to rapidly prototype and launch new projects, demonstrating how modern technology can democratize app creation. #iOSDev #AI #AppDevelopment #Solopreneur

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🤖🧠 Skyvern: The Future of Browser Automation Powered by AI and Computer Vision 🗓️ 16 Nov 2025 📚 AI News & Trends In today’s fast-evolving digital landscape, automation plays a crucial role in enhancing productivity, efficiency and innovation. Yet, traditional browser automation tools often struggle with complexity, maintenance and reliability. They rely heavily on DOM parsing, XPaths and rigid scripts that easily break when websites change their layout. Enter Skyvern, an open-source, AI-driven browser automation platform developed ... #Skyvern #BrowserAutomation #AIDriven #ComputerVision #OpenSource #WebAutomation

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🤖🧠 Steel Browser: The Open-Source Browser API Powering AI Agents and Automation 🗓️ 16 Nov 2025 📚 AI News & Trends The evolution of artificial intelligence has ushered in a new era of automation where AI agents can perform complex digital tasks with minimal human intervention. However, one of the biggest challenges for developers building these systems is browser automation managing sessions, proxies, cookies and debugging environments. This is where Steel Browser comes into play. Steel ... #SteelBrowser #OpenSource #BrowserAutomation #AIAgents #WebScraping #DigitalAutomation

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📌 I Measured Neural Network Training Every 5 Steps for 10,000 Iterations 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-11-15 | ⏱️ Read time: 9 min read A deep dive into the mechanics of neural network training. This detailed analysis meticulously measures key training metrics every 5 steps over 10,000 iterations, providing a high-resolution view of the learning process. The findings offer granular insights into model convergence and the subtle dynamics often missed by standard monitoring, making it a valuable read for ML practitioners and researchers seeking to better understand how models learn. #NeuralNetworks #MachineLearning #DeepLearning #DataAnalysis #ModelTraining

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📌 How to Automate Workflows with AI 🗂 Category: AGENTIC AI 🕒 Date: 2025-11-15 | ⏱️ Read time: 7 min read Unlock the power of AI to streamline your operations. This guide details how to transform tedious manual processes into intelligent, automated workflows. Learn to identify key opportunities, select the right tools, and implement effective solutions to boost efficiency, reduce errors, and drive business innovation. #AI #WorkflowAutomation #ProcessOptimization