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Machine Learning

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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📈 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

📊 受众指标与增长动态

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
+37830
帖子存档
📌 Advanced Retrieval Techniques in a World of 2M Token Context Windows Part 1 🗂 Category: 🕒 Date: 2024-07-15 | ⏱️ Read tim
📌 Advanced Retrieval Techniques in a World of 2M Token Context Windows Part 1 🗂 Category: 🕒 Date: 2024-07-15 | ⏱️ Read time: 7 min read Exploring RAG techniques to improve retrieval

📌 Sampling from Multivariate Distributions: From Statistical to Generative Modeling 🗂 Category: 🕒 Date: 2024-07-15 | ⏱️ Re
📌 Sampling from Multivariate Distributions: From Statistical to Generative Modeling 🗂 Category: 🕒 Date: 2024-07-15 | ⏱️ Read time: 9 min read Bridging classic statistical methods and cutting-edge generative AI models for sampling from multivariate distributions.

📌 A Sanity Check on ‘Emergent Properties’ in Large Language Models 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-15 | ⏱️ Read
📌 A Sanity Check on ‘Emergent Properties’ in Large Language Models 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-15 | ⏱️ Read time: 14 min read LLMs are often said to have ’emergent properties’. But what do we even mean by…

🤖🧠 Ling-1T by inclusionAI: The Future of Smarter, Faster and More Efficient AI Models 🗓️ 09 Oct 2025 📚 AI News & Trends A
🤖🧠 Ling-1T by inclusionAI: The Future of Smarter, Faster and More Efficient AI Models 🗓️ 09 Oct 2025 📚 AI News & Trends Artificial Intelligence is evolving at lightning speed and inclusionAI’s Ling-1T is one of the most exciting innovations leading the charge. Built on the advanced Ling 2.0 architecture, Ling-1T is a trillion-parameter model designed to combine incredible reasoning power, speed and scalability in one open-source system. Image Source : Hugging Face Unlike many AI models that ... #Ling1T #inclusionAI #ArtificialIntelligence #OpenSourceAI #LargeLanguageModels #AIArchitecture

📌 Your 15-Minute Guide on Using Causal Inference in Business (with Placebo Tests) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07
📌 Your 15-Minute Guide on Using Causal Inference in Business (with Placebo Tests) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-15 | ⏱️ Read time: 22 min read “Correlation does not mean causation.” So let’s calculate causation.

📌 VerifAI Project: Open Source Biomedical Question Answering with Verified Answers 🗂 Category: LARGE LANGUAGE MODELS 🕒 Dat
📌 VerifAI Project: Open Source Biomedical Question Answering with Verified Answers 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-15 | ⏱️ Read time: 14 min read Experiences from building LLM-based (Mistral 7B) biomedical question-answering system with hallucination detection method

📌 PySpark Explained: User-Defined Functions 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-15 | ⏱️ Read time: 10 min read Wh
📌 PySpark Explained: User-Defined Functions 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-15 | ⏱️ Read time: 10 min read What are they, and how do you use them?

📌 PyEnv & Poetry Tutorial: Ultimate Data Science Setup 🗂 Category: CODING 🕒 Date: 2024-07-15 | ⏱️ Read time: 8 min read Ho
📌 PyEnv & Poetry Tutorial: Ultimate Data Science Setup 🗂 Category: CODING 🕒 Date: 2024-07-15 | ⏱️ Read time: 8 min read How to use PyEnv and Poetry together for your environment and package management for data…

🤖🧠 OpenAI’s AgentKit: Transforming How Developers Build and Deploy AI Agents 🗓️ 08 Oct 2025 📚 AI News & Trends OpenAI con
🤖🧠 OpenAI’s AgentKit: Transforming How Developers Build and Deploy AI Agents 🗓️ 08 Oct 2025 📚 AI News & Trends OpenAI continues to redefine the frontiers of artificial intelligence with the introduction of AgentKit a powerful all-in-one toolkit designed to simplify and accelerate how developers build and deploy AI agents. Unveiled during OpenAI’s Dev Day on October 6, 2025, AgentKit marks a transformative leap in agentic AI technology giving developers and organizations the ability to ... #OpenAI #AgentKit #AIAgents #ArtificialIntelligence #DeveloperTools #AIInnovation

📌 Topic Modeling Open-Source Research with the OpenAlex API 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-15 | ⏱️ Read time: 10
📌 Topic Modeling Open-Source Research with the OpenAlex API 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-15 | ⏱️ Read time: 10 min read An overview of topic modeling global research through the OpenAlex API and visualizing results

📌 Hacking “Codenames” with GloVe Embeddings 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-07-16 | ⏱️ Read time: 7 m
📌 Hacking “Codenames” with GloVe Embeddings 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-07-16 | ⏱️ Read time: 7 min read Using a GloVe embedding-based algorithm to achieve 100% accuracy on the popular party game “Codenames”

📌 The LLM Triangle Principles to Architect Reliable AI Apps 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-16 | ⏱️ Re
📌 The LLM Triangle Principles to Architect Reliable AI Apps 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-16 | ⏱️ Read time: 19 min read Software design principles for thoughtfully designing reliable, high-performing LLM applications

📌 How to Manipulate the Total in Power BI 🗂 Category: 🕒 Date: 2024-07-16 | ⏱️ Read time: 8 min read In most cases, the tot
📌 How to Manipulate the Total in Power BI 🗂 Category: 🕒 Date: 2024-07-16 | ⏱️ Read time: 8 min read In most cases, the total aggregates the detail rows in a visual. But what if…

🤖🧠 Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs 🗓️ 08 Oct 2025 📚 AI
🤖🧠 Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs 🗓️ 08 Oct 2025 📚 AI News & Trends In recent years, Large Language Models (LLMs) have revolutionized the world of Artificial Intelligence (AI). From ChatGPT and Claude to Llama and Mistral, these models power the conversational systems, copilots, and generative tools that dominate today’s AI landscape. However, for most developers and learners, the inner workings of these systems remain a mystery until now. ... #LargeLanguageModels #LLM #ArtificialIntelligence #DeepLearning #MachineLearning #AIGuides

📌 The Ultimate Guide to Finding Outliers in Your Time-Series Data (Part 3) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-16 | ⏱
📌 The Ultimate Guide to Finding Outliers in Your Time-Series Data (Part 3) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-16 | ⏱️ Read time: 1 min read Outliers Found: Now What? A Guide to Treatment Options

📌 The Ultimate Guide to Finding Outliers in Your Time-Series Data (Part 3) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-16 | ⏱
📌 The Ultimate Guide to Finding Outliers in Your Time-Series Data (Part 3) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-16 | ⏱️ Read time: 17 min read Outliers Found: Now What? A Guide to Treatment Options

📌 The Math Behind Multi-Head Attention in Transformers 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-16 | ⏱️ Read ti
📌 The Math Behind Multi-Head Attention in Transformers 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-16 | ⏱️ Read time: 18 min read Deep Dive into Multi-Head Attention, the secret element in Transformers and LLMs. Let’s explore its…

📌 PyTorch Tabular: A Review 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-16 | ⏱️ Read time: 8 min read An overview for get
📌 PyTorch Tabular: A Review 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-16 | ⏱️ Read time: 8 min read An overview for getting up and running quickly, while avoiding confusion

🤖🧠 The Little Book of Deep Learning – A Complete Summary and Chapter-Wise Overview 🗓️ 08 Oct 2025 📚 AI News & Trends In t
🤖🧠 The Little Book of Deep Learning – A Complete Summary and Chapter-Wise Overview 🗓️ 08 Oct 2025 📚 AI News & Trends In the ever-evolving world of Artificial Intelligence, deep learning continues to be the driving force behind breakthroughs in computer vision, speech recognition and natural language processing. For those seeking a clear, structured and accessible guide to understanding how deep learning really works, “The Little Book of Deep Learning” by François Fleuret is a gem. This ... #DeepLearning #ArtificialIntelligence #MachineLearning #NeuralNetworks #AIGuides # FrancoisFleuret

📌 Pitching (AI) Innovation in Your Company 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-16 | ⏱️ Read time: 7 min re
📌 Pitching (AI) Innovation in Your Company 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-16 | ⏱️ Read time: 7 min read Key steps to kick off an AI journey in your current job