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 40 145 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 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 40 145 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。
40 145
订阅者
+724 小时
+1147 天
+37830 天
帖子存档
40 147
📌 Should You Join FAANG or a Startup as a Data Scientist?
🗂 Category: CAREER ADVICE
🕒 Date: 2024-06-20 | ⏱️ Read time: 11 min read
Lessons from working at Uber + Meta, a growth stage company and a tiny startup
40 147
📌 Why You (Currently) Do Not Need Deep Learning for Time Series Forecasting
🗂 Category: DEEP LEARNING
🕒 Date: 2024-06-20 | ⏱️ Read time: 14 min read
What you need instead: Learnings from the Makridakis M5 competitions and the 2023 Kaggle AI…
40 147
📌 How Do Computers Actually Remember?
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-20 | ⏱️ Read time: 15 min read
A Budding Data Scientist’s Introduction to Computer Hardware
40 147
📌 How I Created a Kaggle-Like Platform for My Students Using Streamlit and How You Can Do It as Well
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-20 | ⏱️ Read time: 29 min read
Gamify machine learning student projects with Streamlit and Google Sheets
40 147
📌 Understanding Techniques for Solving GenAI Challenges
🗂 Category:
🕒 Date: 2024-06-20 | ⏱️ Read time: 19 min read
Dive into model pre-training, fine-tuning, RAG, prompt engineering, and more!
40 147
📌 Transforming Next-Token Prediction into Classification with LLMs
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-06-20 | ⏱️ Read time: 7 min read
From tokens to labels: Performing classification with large language models
40 147
📌 Voyage Multilingual 2 Embedding Evaluation
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-06-20 | ⏱️ Read time: 11 min read
Compared to OpenAI, Cohere, Google, and E5
40 147
📌 3 Painful Mistakes I Made as a Junior Data Scientist
🗂 Category: CAREER ADVICE
🕒 Date: 2024-06-21 | ⏱️ Read time: 6 min read
Learn from them to fast-track your career today
40 147
📌 Enhancing Marketing Mix Modelling with Causal AI
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-06-21 | ⏱️ Read time: 8 min read
Causal AI, exploring the integration of causal reasoning into machine learning
40 147
📌 Guiding an LLM’s Response to Create Structured Output
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-06-21 | ⏱️ Read time: 11 min read
Learn how to structure a language model’s response to ensure that the response format is…
40 147
📌 Simplifying Support Vector Machines – A Concise Introduction into Binary Classification
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-06-21 | ⏱️ Read time: 7 min read
MLBasics #4: The Binary Classification King – A Journey Through Support Vector Machines
40 147
📌 Creating a Streamlit App for Satellite Imagery Visualization: A Step-by-Step Guide
🗂 Category: DATA VISUALIZATION
🕒 Date: 2024-06-21 | ⏱️ Read time: 11 min read
Explore any point on Earth at any time using satellite data with Streamlit
40 147
📌 Entity-Resolved Knowledge Graphs
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-21 | ⏱️ Read time: 5 min read
New words. Old concepts. In the end, it’s about data fusion.
40 147
📌 Deep Learning Illustrated, Part 5: Long Short-Term Memory (LSTM)
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-06-21 | ⏱️ Read time: 8 min read
An illustrated and intuitive guide on the inner workings of an LSTM
40 147
📌 Beyond Kleinberg’s Impossibility Theorem of Clustering: A Pragmatic Clustering Evaluation Framework
🗂 Category:
🕒 Date: 2024-06-21 | ⏱️ Read time: 15 min read
This article explores a pragmatic evaluation framework for clustering under the constraint of Kleinberg’s Impossibility…
40 147
📌 Challenges and Solutions in Data Mesh – Part 3
🗂 Category: DATA ENGINEERING
🕒 Date: 2024-06-21 | ⏱️ Read time: 12 min read
A practical approach to achieving interoperability in the data mesh through federated enterprise data modeling
40 147
📌 Validating Data in a Production Pipeline: The TFX Way
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-22 | ⏱️ Read time: 10 min read
A deep dive into data validation using Tensorflow Data Validation
40 147
📌 330 Weeks of Data Visualizations: My Journey and Key Takeaways
🗂 Category: CAREER ADVICE
🕒 Date: 2024-06-22 | ⏱️ Read time: 7 min read
How consistent practice in data visualization enhanced my data science skills
40 147
📌 I Took a Certification in AI. Here’s What It Taught Me About Prompt Engineering.
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-22 | ⏱️ Read time: 15 min read
A software developer learns how large language models are more than just magic.
40 147
📌 Model Drift Introduction and Concepts
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-22 | ⏱️ Read time: 7 min read
Learn some of the concepts behind machine learning models drift and understand why MLOps is…
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