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3 375...

📈 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 40 149 名订阅者，在 技术与应用 类别中位列第 3 375，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 40 149 名订阅者。

根据 28 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 378，过去 24 小时变化为 7，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 2.09%。内容发布后 24 小时内通常能获得 1.91% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 841 次浏览，首日通常累积 766 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 3。
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 29 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。

40 149

订阅者

+724 小时

+1147 天

+37830 天

841

帖子浏览量

~ 76624 小时

~ 1 08948 小时

2.09%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 152

📌 EDA for Word Embeddings 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 16 min read Data scientists use EDA for everything. Why not word embeddings?

40 152

📌 Gower’s Distance for Mixed Categorical and Numerical Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 8 min read A distance measure for mixed data that can be used for clustering

40 152

🤖🧠 ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes 🗓️ 11 Oct 2025 📚 AI News & Trends Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMA’s architecture, technical capabilities, practical ... #ROMA #AIFramework #MultiAgentSystems #ArtificialIntelligence #HighPerformanceAI #AgentBasedAI

40 152

📌 A Practical Framework for Search Evaluation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 15 min read A Data-Driven Approach to Elevating User Experience and Business Performance with Search

40 152

📌 Multi-Headed Self Attention – By Hand 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 5 min read Hand computing the cornerstone of modern AI.

40 152

📌 Predictive Marketing Mix Modeling with GLOP: The Perfect Cocktail Shaker 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-12 | ⏱️ Read time: 12 min read Maximizing profit using ML and GLOP (by Google) in the digital landscape

40 152

📌 Deliver Your Data as a Product, But Not as an Application 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-12 | ⏱️ Read time: 11 min read Data as a product is an intriguing concept, but beware of the application trap

40 152

🤖🧠 How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs 🗓️ 11 Oct 2025 📚 AI News & Trends Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ... #oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization

40 152

📌 Rainbow: The Colorful Evolution of Deep Q-Networks 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-12 | ⏱️ Read time: 20 min read Everything you need to assemble the DQN Megazord in JAX.

40 152

📌 Time Series Are Not That Different for LLMs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 8 min read Harnessing the power of LLMs for time series modeling

40 152

📌 Lessons Learned as a Data Science Manager and Why I’m Moving Back to an Individual Contributor Role 🗂 Category: CAREER ADVICE 🕒 Date: 2024-07-13 | ⏱️ Read time: 11 min read The three questions I asked myself that helped me pick my career path

40 152

📌 How to Deliver Successful Data Science Consulting Projects 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 11 min read Key recommendations for how to succeed with data science consulting projects and build lasting client…

40 152

🤖🧠 Gamma PPT AI : Unlock Presentations in Minutes 🗓️ 10 Oct 2025 📚 AI News & Trends In today’s fast-paced world, creating high-impact presentations can be a tedious, time-consuming process especially when you need beautiful visuals, crisp content and consistent branding. That’s where Gamma PPT AI comes in. It’s a tool that promises to transform how we make slide decks by letting AI handle design, layout and content generation. In this blog, ... #GammaPPTAI #AIPresentations #PresentationTools #ArtificialIntelligence #DesignAutomation #SlideDeck

40 152

📌 Why It Feels Impossible to Get a Data Science Job 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 10 min read Reasons why the market is tough and what you can do about it

40 152

📌 Reinforcement Learning, Part 5: Temporal-Difference Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 18 min read Intelligently synergizing dynamic programming and Monte Carlo algorithms

40 152

📌 Essential Considerations for Implementing Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 8 min read Is your use case a viable ML product from a traditional ML and production perspective?

40 152

📌 Three reasons why developers should use DuckDB 🗂 Category: SQL 🕒 Date: 2024-07-14 | ⏱️ Read time: 5 min read Developers often have to analyse data, e.g. assessing the impact of an outage. DuckDB is…

40 152

🤖🧠 PyMuPDF: The Ultimate Python Library for High-Performance PDF Processing 🗓️ 09 Oct 2025 📚 AI News & Trends If you’re a Python developer working with PDF documents whether it’s for text extraction, data analysis conversion or annotation then you’ve likely encountered the limitations of traditional tools. That’s where PyMuPDF also known as fitz, shines. It’s a lightweight, high-performance Python library that enables comprehensive PDF manipulation with minimal dependencies and maximum flexibility. In this ... #PyMuPDF #PythonLibrary #PDFProcessing #TextExtraction #DataAnalysis #HighPerformance

40 152

📌 LLM Agents Demystified 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-14 | ⏱️ Read time: 16 min read Hands-on ReAct agent implementation with AdalFlow library

40 152

📌 Chaining Pandas Operations: Strengths and Limitations 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-15 | ⏱️ Read time: 20 min read Learn when it’s worth chaining Pandas operations in pipes.