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
40 145
📌 How Many Pokemon Fit?
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-12 | ⏱️ Read time: 10 min read
Finding the best Pokemon team by modeling and solving a knapsack problem with PokeAPI and…
40 145
📌 Time Series Regression and Cross-Validation: A Tidy Approach
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-12 | ⏱️ Read time: 8 min read
Step by step guide to EDA, feature engineering, cross validation and model comparison with tidymodels,…
40 145
📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 2)
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-06-13 | ⏱️ Read time: 8 min read
Understanding and coding how Gaussian’s are used within 3D Gaussian Splatting
40 145
📌 AI Agent Unit Testing in Langfuse
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-13 | ⏱️ Read time: 10 min read
Creating a scalable testing solution for AI agents for operation by non-coders
40 145
📌 My Easy Guide to Pre vs. Post Treatment Tests
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read
A quick introduction to Before and After Tests with code.
40 145
📌 Sparse Autoencoders, Additive Decision Trees, and Other Emerging Topics in AI Interpretability
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-13 | ⏱️ Read time: 4 min read
Our weekly selection of must-read Editors’ Picks and original features
40 145
📌 Take a Look Under the hood
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2024-06-13 | ⏱️ Read time: 13 min read
Using Monosemanticity to understand the concepts a Large Language Model learned
40 145
📌 Improving Business Performance with Machine Learning
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-06-13 | ⏱️ Read time: 18 min read
Whether you are a data scientist, analyst, or business analyst, your goal is to deliver…
40 145
I was shocked how easy it is: I connected my signals,…and trades started happening.
Nobody told me you could earn passively like that! This is the automation traders are hiding — it just works. Curious how?
👉 See the real tool in action
#ad InsideAds
40 145
📌 Beyond AlphaFold: The Future Of LLM in Medicine
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-06-13 | ⏱️ Read time: 17 min read
AlphaFold leaves a complex legacy: What will be the future of LLM in biology and…
40 145
📌 How I’d Become a Data Scientist (If I Had to Start Over)
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-14 | ⏱️ Read time: 12 min read
Roadmap and tips on how to land a job in data science
40 145
📌 CUDA for AI – Intuitively and Exhaustively Explained
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-06-14 | ⏱️ Read time: 58 min read
Parallelized AI from scratch in CUDA
40 145
📌 Mapping the Pokemon World: A Network Analysis of Habitat-Based Encounters
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-14 | ⏱️ Read time: 19 min read
An introduction to Network Analysis in Python, along with a practical example using Pokemon data…
40 145
📌 Understanding Buffer of Thoughts (BoT) – Reasoning with Large Language Models
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-14 | ⏱️ Read time: 12 min read
New prompt engineering tool for complex reasoning, compared with Chain of thought (CoT) and Tree…
40 145
📌 Gated Recurrent Units (GRU) – Improving RNNs
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-06-15 | ⏱️ Read time: 11 min read
Explaining how Gated Recurrent Neural Networks work
40 145
📌 Graph Visualization: 7 Steps from Easy to Advanced
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-15 | ⏱️ Read time: 10 min read
Making visualization with Python, NetworkX, and D3.JS
40 145
📌 GPT from Scratch with MLX
🗂 Category: DEEP LEARNING
🕒 Date: 2024-06-15 | ⏱️ Read time: 36 min read
Define and train GPT-2 on your MacBook
40 145
📌 Erasing Clouds from Satellite Imagery Using GANs (Generative Adversarial Networks)
🗂 Category: DEEP LEARNING
🕒 Date: 2024-06-15 | ⏱️ Read time: 12 min read
Building GANs from scratch in python
40 145
📌 Simple Model Retraining Automation via GitHub Actions
🗂 Category: EDUCATION
🕒 Date: 2024-06-15 | ⏱️ Read time: 13 min read
Easily streamline your modelling process with the GitHub Actions.
40 145
📌 Analyzing Unstructured PDF Data w/ Embedding Models and LLMs
🗂 Category:
🕒 Date: 2024-06-15 | ⏱️ Read time: 8 min read
How to turn PDFs into actionable insights
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