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:📈 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 40 310 名订阅者，在 技术与应用 类别中位列第 3 332，并在 叙利亚 地区排名第 225 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 40 310 名订阅者。
根据 09 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 378，过去 24 小时变化为 30，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 2.23%。内容发布后 24 小时内通常能获得 1.95% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 897 次浏览，首日通常累积 788 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 10 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。
40 310
订阅者
+3024 小时
+1067 天
+37830 天
帖子存档
40 310
📌 No Peeking Ahead: Time-Aware Graph Fraud Detection
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-09-14 | ⏱️ Read time: 15 min read
How to implement leak-free graph fraud detection
40 310
What if you could unlock the secrets behind every glass of wine you sip? Discover rare finds, honest reviews, and the fascinating stories of wine regions — without the snobbery. Whether you’re a connoisseur or simply love exploring new tastes, join Simply Wine | Great Wine Lover for insights you won’t find anywhere else. Ready to swirl, sniff, and savor? Dive in now!
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40 310
📌 Roadmap to Becoming a Data Scientist, Part 3: Machine Learning
🗂 Category: CAREER ADVICE
🕒 Date: 2025-01-14 | ⏱️ Read time: 11 min read
From beginner to pro: key machine learning skills for data science aspirants
40 310
📌 Using Optimization to Solve Adversarial Problems
🗂 Category:
🕒 Date: 2025-01-14 | ⏱️ Read time: 41 min read
An example of simultaneously optimizing two policies for two adversarial agents, looking specifically at the…
40 310
📌 You Think 80% Means 80%? Why Prediction Probabilities Need a Second Look
🗂 Category:
🕒 Date: 2025-01-14 | ⏱️ Read time: 9 min read
Understand the gap between predicted probabilities and real-world outcomes
40 310
📌 From Darwin to Deep Work
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-14 | ⏱️ Read time: 7 min read
Focus Strategies for Machine Learning Practitioners
40 310
📌 Awesome Plotly with Code Series (Part 8): How to Balance Dominant Bar Chart Categories
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-14 | ⏱️ Read time: 8 min read
Discover the #1 strategy to handle skyscraper bars in your charts
40 310
📌 Why Normalization Is Crucial for Policy Evaluation in Reinforcement Learning
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-14 | ⏱️ Read time: 6 min read
Enhancing Accuracy in Reinforcement Learning Policy Evaluation through Normalization
40 310
📌 Scale Experiment Decision-Making with Programmatic Decision Rules
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-14 | ⏱️ Read time: 6 min read
Decide what to do with experiment results in code
40 310
📌 How To: Forecast Time Series Using Lags
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-14 | ⏱️ Read time: 8 min read
Lag columns can significantly boost your model’s performance
40 310
📌 Hands-On Delivery Routes Optimization (TSP) with AI, Using LKH and Python
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-14 | ⏱️ Read time: 12 min read
Here’s how to optimize the delivery routes, from theory to code.
40 310
📌 Basics of GANs & SMOTE for Data Augmentation
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-15 | ⏱️ Read time: 14 min read
GANs and SMOTE Explained with Bartending: Data Science for Machine Learning Series (1)
40 310
📌 Scaling Segmentation with Blender: How to Automate Dataset Creation
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-15 | ⏱️ Read time: 10 min read
A Step-by-Step Guide to Generating Synthetic Data for Training AI Models
40 310
📌 LossVal Explained: Efficiently Estimate the Importance of Your Training Data
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-15 | ⏱️ Read time: 7 min read
How to Exploit the Loss Function for Efficient Data Valuation
40 310
📌 Recursive Walks down User Referral Trees
🗂 Category: MARKETING
🕒 Date: 2025-01-15 | ⏱️ Read time: 6 min read
Measuring the total influence of users in a user referral program by traversing indirect referrals
40 310
📌 Unlocking the Power of Machine Learning in Analytics: Practical Use Cases and Skills
🗂 Category: ANALYTICS
🕒 Date: 2025-01-15 | ⏱️ Read time: 9 min read
Your essential machine learning checklist to excel as a data scientist in analytics
40 310
📌 Understanding Flash Attention: Writing the Algorithm from Scratch in Triton
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-15 | ⏱️ Read time: 7 min read
Find out how Flash Attention works. Afterward, we’ll refine our understanding by writing a GPU…
40 310
Ever wondered how top traders spot the next crypto pump — before everyone else? Unlock the power of pure technical analysis with CRYPTO LEGENDS. Get real-time charts, key altcoin & BTC signals, and actionable insights — no hype, just facts. Be first to catch market moves right here. Don’t just watch the charts — use them. Join now for a real edge!
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40 310
📌 What Did I Learn from Building LLM Applications in 2024? – Part 2
🗂 Category:
🕒 Date: 2025-01-17 | ⏱️ Read time: 13 min read
An engineer’s journey to building LLM-powered applications
40 310
📌 Influential Time-Series Forecasting Papers of 2023-2024: Part 1
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 16 min read
Exploring the latest advancements in time series
