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 40 291 名订阅者,在 技术与应用 类别中位列第 3 341,并在 叙利亚 地区排名第 226 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 40 291 名订阅者。
根据 08 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 353,过去 24 小时变化为 12,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 2.31%。内容发布后 24 小时内通常能获得 1.90% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 929 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 09 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。
40 291
订阅者
+1224 小时
+867 天
+35330 天
帖子存档
40 307
📌 Preparing PDFs for RAGs
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 5 min read
I created a graph storage from dozens of annual reports (with tables)
40 307
📌 A Practical Exploration of Sora – Intuitively and Exhaustively Explained
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 23 min read
A new cutting edge video generation tool, and the theory behind it
40 307
📌 Where to Start when Data is Limited: A Guide
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 23 min read
Overcome small data constraints & ambitious performance requirements-leveraging modern ML to surpass conventional methods.
40 307
📌 My Experience Switching From Power BI to Looker (as a Senior Data Analyst)
🗂 Category: MICROSOFT
🕒 Date: 2025-01-17 | ⏱️ Read time: 17 min read
What you need to know before you switch from Power BI to Looker.
40 307
📌 Showcasing Soaring Wildfire Counts With Streamlit and Python: A Powerful Approach
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-01-18 | ⏱️ Read time: 13 min read
Analyzing historical wildfire trends in Canada with public data
40 307
📌 Modern Data And Application Engineering Breaks the Loss of Business Context
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-01-18 | ⏱️ Read time: 16 min read
Here’s how your data retains its business relevance as it travels through your enterprise
40 307
📌 How to Log Your Data with MLflow
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-19 | ⏱️ Read time: 12 min read
Mastering data logging in MLOps for your AI workflow
40 307
📌 Zero-Shot Player Tracking in Tennis with Kalman Filtering
🗂 Category:
🕒 Date: 2025-01-19 | ⏱️ Read time: 10 min read
Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homography.
40 307
📌 The Concepts Data Professionals Should Know in 2025: Part 1
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-01-19 | ⏱️ Read time: 14 min read
From Data Lakehouses to Event-Driven Architecture – Master 12 data concepts and turn them into…
40 307
📌 Designing, Building & Deploying an AI Chat App from Scratch (Part 1)
🗂 Category:
🕒 Date: 2025-01-20 | ⏱️ Read time: 19 min read
Microservices Architecture and Local Development
40 307
📌 Designing, Building & Deploying an AI Chat App from Scratch (Part 2)
🗂 Category:
🕒 Date: 2025-01-20 | ⏱️ Read time: 20 min read
Cloud Deployment and Scaling
40 307
📌 The Concepts Data Professionals Should Know in 2025: Part 2
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-20 | ⏱️ Read time: 14 min read
From AI Agent to Human-In-The-Loop – Master 12 critical data concepts and turn them into…
40 307
📌 Neural Networks for Time-Series Imputation: Tackling Missing Data
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read
Part 3: Discover how a simple Keras sequential model can be effective
40 307
📌 Human Minds and Machine Learning Models
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 14 min read
Exploring the parallels and differences between psychology and machine learning
40 307
📌 How to Utilize ModernBERT and Synthetic Data for Robust Text Classification
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 10 min read
Learn how to fine-tune ModernBERT and create augmentations of text samples
40 307
📌 How to Evaluate LLM Summarization
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-22 | ⏱️ Read time: 18 min read
A practical and effective guide for evaluating AI summaries
40 307
📌 Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read
A comparison of two cutting-edge dynamic topic models solving consumer complaints classification exercise
40 307
📌 Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems
🗂 Category:
🕒 Date: 2025-01-22 | ⏱️ Read time: 24 min read
How natural systems fundamental laws help explain AI’s unexpected abilities
40 307
📌 Harmonizing and Pooling Datasets for Health Research in R
🗂 Category: CODING
🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read
R code to extract data from unique datasets and combine them in one harmonized dataset…
40 307
📌 Behind the Scenes of a Successful Data Analytics Project
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-23 | ⏱️ Read time: 10 min read
Learn the steps to approach any data analytics project like a pro.
