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
显示更多📈 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 40 237 名订阅者,在 技术与应用 类别中位列第 3 336,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 40 237 名订阅者。
根据 04 七月, 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 343,过去 24 小时变化为 16,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 1.92%。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 771 次浏览,首日通常累积 761 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 05 七月, 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。
40 237
订阅者
+1624 小时
+837 天
+34330 天
帖子存档
40 237
📌 The Bias Variance Tradeoff and How it Shapes The LLMs of Today
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-11-02 | ⏱️ Read time: 7 min read
What makes chatGPT so good? What are the architectural assumptions behind the success and pitfalls…
40 237
📌 Integrating DataHub into Jira: A Practical Guide Using DataHub Actions
🗂 Category: DATA SCIENCE
🕒 Date: 2025-09-22 | ⏱️ Read time: 7 min read
A walkthrough of how to integrate metadata changes in DataHub into Jira workflows using the…
40 237
📌 Creating and Deploying an MCP Server from Scratch
🗂 Category:
🕒 Date: 2025-09-22 | ⏱️ Read time: 6 min read
A step-by-step guide for putting an MCP server online in minutes
40 237
📌 The Kolmogorov–Smirnov Statistic, Explained: Measuring Model Power in Credit Risk Modeling
🗂 Category: DATA SCIENCE
🕒 Date: 2025-09-22 | ⏱️ Read time: 8 min read
Understanding how banks use the KS statistic in loan approvals.
40 237
📌 How to Connect an MCP Server for an AI-Powered, Supply-Chain Network Optimization Agent
🗂 Category: AGENTIC AI
🕒 Date: 2025-09-22 | ⏱️ Read time: 22 min read
From prompt to strategic decision-making: MCP-powered agents for cost-efficient, reliable and sustainable supply chain network…
40 237
📌 Paper Walkthrough: Attention Is All You Need
🗂 Category: DEEP LEARNING
🕒 Date: 2024-11-03 | ⏱️ Read time: 46 min read
The complete guide to implementing a Transformer from scratch
40 237
📌 Dynamic Execution
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-11-03 | ⏱️ Read time: 12 min read
Getting your AI task to distinguish between Hard and Easy problems
40 237
📌 Recursion – Data Structures & Algorithms for Data Scientists
🗂 Category: CODING
🕒 Date: 2024-11-03 | ⏱️ Read time: 4 min read
Recursion, recursion, recursion, recursion, recursion, etc.
40 237
📌 GraphRAG in Action: From Commercial Contracts to a Dynamic Q&A Agent
🗂 Category:
🕒 Date: 2024-11-04 | ⏱️ Read time: 28 min read
A question-based extraction approach
40 237
📌 When Machines Think Ahead: The Rise of Strategic AI
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2024-11-04 | ⏱️ Read time: 35 min read
Exploring the advancements in strategic AI and how large language models fit into the bigger…
40 237
📌 What Did I Learn from Building LLM Applications in 2024? – Part 1
🗂 Category:
🕒 Date: 2024-11-04 | ⏱️ Read time: 9 min read
An engineer’s journey to building LLM-native applications
40 237
📌 Let There Be Light! Diffusion Models and the Future of Relighting
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-11-04 | ⏱️ Read time: 18 min read
Discover how cutting-edge diffusion models tackle relighting, harmonization, and shadow removal in this in-depth blog…
40 237
📌 Classify Jira Tickets with GenAI On Amazon Bedrock
🗂 Category: PROGRAMMING
🕒 Date: 2024-11-04 | ⏱️ Read time: 10 min read
Replace traditional NLP approaches with prompt engineering and Large Language Models (LLMS) for Jira ticket…
40 237
📌 Exploring Recursive Art: Fractals with Context Free
🗂 Category: ART
🕒 Date: 2024-11-04 | ⏱️ Read time: 7 min read
Generating Intricate Imagery with Simple Rules and Shapes
40 237
📌 Histogram of Oriented Gradients (HOG) in Computer Vision
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-11-04 | ⏱️ Read time: 5 min read
An explanation and implementation of Histogram of Oriented Gradients (HOG) for object detection and recognition
40 237
📌 Rasterizing Vector Data in Python
🗂 Category: DATA SCIENCE
🕒 Date: 2024-11-05 | ⏱️ Read time: 4 min read
How to turn vector elevation lines into a grid – and build it from Lego
40 237
📌 Overcoming LLM Challenges in Healthcare: Practical Strategies for Development in Production
🗂 Category: DATA SCIENCE
🕒 Date: 2024-11-05 | ⏱️ Read time: 10 min read
An article on the most common LLM development challenges I’ve encountered, effective mitigation strategies, and…
40 237
📌 I Wasn’t Always a Data Scientist – How I Broke into the Field
🗂 Category: DATA SCIENCE
🕒 Date: 2024-11-05 | ⏱️ Read time: 13 min read
8 strategies I used (and you can too) on my journey to data science
40 237
📌 The “Gold-Rush Paradox” in Data: Why Your KPIs Need a Rethink
🗂 Category: ANALYTICS
🕒 Date: 2024-11-05 | ⏱️ Read time: 6 min read
You’re not doing as good a job as you think you are
40 237
📌 While Using RLS When Manipulating Relationships in Power BI, What Can Go Wrong?
🗂 Category:
🕒 Date: 2024-11-05 | ⏱️ Read time: 8 min read
There are restrictions when manipulating Relationships with RLS in place. The MS documentation doesn’t provide…
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