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 40 150 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
帖子存档
40 150
📌 How I Used Machine Learning to Predict 41% of Project Delays Before They Happened
🗂 Category: PROJECT MANAGEMENT
🕒 Date: 2025-10-17 | ⏱️ Read time: 12 min read
How data science can help project managers anticipate risks and save time
40 150
📌 How to Classify Lung Cancer Subtype from DNA Copy Numbers Using PyTorch
🗂 Category: DEEP LEARNING
🕒 Date: 2025-10-17 | ⏱️ Read time: 12 min read
A step-by-step introduction to understanding cancer from the perspective of a data scientist.
40 150
📌 Machine Learning Meets Panel Data: What Practitioners Need to Know
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-10-17 | ⏱️ Read time: 8 min read
How to avoid overestimating machine learning models’ performance, usefulness, and real-world applicability due to hidden…
40 150
🤖🧠 Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity
🗓️ 18 Oct 2025
📚 AI News & Trends
Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...
#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel
40 150
🤖🧠 Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity
🗓️ 18 Oct 2025
📚 AI News & Trends
Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...
#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel
40 150
📌 Learnings from a Machine Learning Engineer — Part 2: The Data Sets
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-02-13 | ⏱️ Read time: 10 min read
In Part 1, we discussed the importance of collecting good image data and assigning proper labels…
40 150
📌 Learnings from a Machine Learning Engineer — Part 4: The Model
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-02-13 | ⏱️ Read time: 8 min read
In this latest part of my series, I will share what I have learned on…
40 150
📌 Learnings from a Machine Learning Engineer — Part 1: The Data
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-02-13 | ⏱️ Read time: 13 min read
It is said that in order for a machine learning model to be successful, you…
40 150
📌 Learnings from a Machine Learning Engineer — Part 3: The Evaluation
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-02-13 | ⏱️ Read time: 13 min read
In this third part of my series, I will explore the evaluation process which is…
40 150
📌 Learnings from a Machine Learning Engineer — Part 5: The Training
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-02-13 | ⏱️ Read time: 16 min read
In this fifth part of my series, I will outline the steps for creating a…
40 150
📌 Building a Data Engineering Center of Excellence
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-02-13 | ⏱️ Read time: 11 min read
As data continues to grow in importance and become more complex, the need for skilled…
40 150
Repost from Machine Learning with Python
AI Engineering roadmap that beginners can actually follow. Everything is based on 100% free, open-source, and community resources
All resources can be found here: GitHub
👉 @codeprogrammer
40 150
“I was blocked on Telegram at 2 AM and thought it was over. But then I found THIS.”
Everyone’s missing out on the one-click PROXY that just saved my chats. See the link — unlock Telegram when you need it most!
#ad InsideAds
40 150
📌 Analyzing Lake Mendota Ice Phenology with Python
🗂 Category: CLIMATE CHANGE
🕒 Date: 2024-06-10 | ⏱️ Read time: 10 min read
An analysis-ready dataset you can use right now
40 150
📌 Task-Aware RAG Strategies for When Sentence Similarity Fails
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-10 | ⏱️ Read time: 19 min read
When retrieval is based on an additional metric besides just sentence similarity, traditional methods perform…
40 150
🤖🧠 Agentic Entropy-Balanced Policy Optimization (AEPO): Balancing Exploration and Stability in Reinforcement Learning for Web Agents
🗓️ 17 Oct 2025
📚 AI News & Trends
AEPO (Agentic Entropy-Balanced Policy Optimization) represents a major advancement in the evolution of Agentic Reinforcement Learning (RL). As large language models (LLMs) increasingly act as autonomous web agents – searching, reasoning and interacting with tools – the need for balanced exploration and stability has become crucial. Traditional RL methods often rely heavily on entropy to ...
#AgenticRL #ReinforcementLearning #LLMs #WebAgents #EntropyBalanced #PolicyOptimization
40 150
📌 Spatial Index: Space-Filling Curves
🗂 Category: DATABASE DESIGN
🕒 Date: 2024-06-11 | ⏱️ Read time: 11 min read
Spatial Index and Space Filling Curves for Multi-dimensional data
40 150
📌 Reinforcement Learning, Part 4: Monte Carlo Control
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-11 | ⏱️ Read time: 17 min read
Harnessing Monte Carlo algorithms to discover the best strategies
40 150
📌 Anatomy of Windows Functions
🗂 Category: DATA ENGINEERING
🕒 Date: 2024-06-11 | ⏱️ Read time: 15 min read
Theory and practice of an underappreciated SQL operation
40 150
📌 SQL Explained: Ranking Analytics
🗂 Category: DATA ENGINEERING
🕒 Date: 2024-06-11 | ⏱️ Read time: 11 min read
What they are and how you use them
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