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

网络:Machine Learning with Python 叙利亚227 技术与应用3 365...

📈 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 40 193 名订阅者，在 技术与应用 类别中位列第 3 365，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 40 193 名订阅者。

根据 01 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 355，过去 24 小时变化为 21，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 2.04%。内容发布后 24 小时内通常能获得 2.12% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 818 次浏览，首日通常累积 851 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 02 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。

40 193

订阅者

+2124 小时

+857 天

+35530 天

818

帖子浏览量

~ 85124 小时

~ 1 13948 小时

2.04%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

40 198

Want to see real profits from trading? Join the winning side right now—today’s trades hit +190 pips in just 1 hour! Ready to copy every move and secure results with a pro trader (7+ years, 85% winrate)? Don’t miss your exclusive spot—profits like these are waiting right here! Watch signals. Follow. Profit. Get started now #ad InsideAds

40 198

📌 Feature Extraction for Time Series, from Theory to Practice, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-24 | ⏱️ Read time: 12 min read Here’s everything you need to know when extracting features for Time Series analysis

40 198

📌 Building a Command-Line Quiz Application in R 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-05 | ⏱️ Read time: 6 min read Practice control flow, input handling, and functions in R by creating an interactive quiz game.

40 198

📌 Real-Time Intelligence in Microsoft Fabric: The Ultimate Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-04 | ⏱️ Read time: 21 min read Once upon a time, handling streaming data was considered an avant-garde approach. Since the introduction of relational…

40 198

📌 A Simple Framework for RAG Enhanced Visual Question Answering 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-30 | ⏱️ Read time: 20 min read Empowering Phi-3.5-vision with Wikipedia knowledge for augmented Visual Question Answering.

40 198

📌 Deploy Models with AWS SageMaker Endpoints – Step by Step Implementation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 13 min read A 4-step tutorial on creating a SageMaker endpoint and calling it.

40 198

📌 Advanced SQL for Data Science 🗂 Category: ANALYTICS 🕒 Date: 2024-08-24 | ⏱️ Read time: 15 min read Expert techniques to elevate your analysis

40 198

📌 Automating ETL to SFTP Server Using Python and SQL 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-24 | ⏱️ Read time: 19 min read Learn how to automate a daily data transfer process on Windows, from PostgreSQL database to…

40 198

📌 Solving The Travelling Salesman Problem Using A Genetic Algorithm 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-25 | ⏱️ Read time: 16 min read An Exploration with Python

40 198

📌 How to Network as a Data Scientist 🗂 Category: CAREER ADVICE 🕒 Date: 2024-08-26 | ⏱️ Read time: 8 min read Times are changing – if you want to get into data science, you have to…

40 198

📌 Advanced Retrieval Techniques in a World of 2M Token Context Windows: Part 2 on Re-rankers 🗂 Category: 🕒 Date: 2024-08-26 | ⏱️ Read time: 8 min read Exploring RAG techniques to improve retrieval accuracy

40 198

Repost from Machine Learning with Python

Big surprise in our channels on Discord https://discord.gg/PGZku7DrSz 🔔 Subscribe now

40 198

📌 Tackle Complex LLM Decision-Making with Language Agent Tree Search (LATS) & GPT-4o 🗂 Category: 🕒 Date: 2024-08-26 | ⏱️ Read time: 11 min read Enhancing LLM Decision-Making: Integrating Language Agent Tree Search with GPT-4o for Superior Problem Solving

40 198

📌 Introducing Markov Decision Processes, Setting up Gymnasium Environments and Solving them via Dynamic Programming Methods 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-26 | ⏱️ Read time: 12 min read Dissecting “Reinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode II

40 198

📌 How Can We Continually Adapt Vision-Language Models? 🗂 Category: 🕒 Date: 2024-08-26 | ⏱️ Read time: 9 min read Exploring Continual Learning Strategies for CLIP.

40 198

📌 How to Achieve Near Human-Level Performance in Chunking for RAGs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-26 | ⏱️ Read time: 10 min read The costly yet powerful splitting technique for superior RAG retrieval

40 198

📌 No Baseline? No Benchmarks? No Biggie! An Experimental Approach to Agile Chatbot Development 🗂 Category: INNOVATION 🕒 Date: 2024-08-26 | ⏱️ Read time: 15 min read Lessons learned bringing LLM-based products to production

40 198

📌 AWS DeepRacer : A Practical Guide to Reducing The Sim2Real Gap – Part 2 || Training Guide 🗂 Category: ROBOTICS 🕒 Date: 2024-08-26 | ⏱️ Read time: 13 min read This article describes how to train the AWS DeepRacer to drive safely around a track…

40 198

📌 Exploring the Strategic Capabilities of LLMs in a Risk Game Setting 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-27 | ⏱️ Read time: 39 min read In a simulated Risk environment, large language models from Anthropic, OpenAI, and Meta showcase distinct…

40 198

📌 How to Color Polars DataFrame 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-27 | ⏱️ Read time: 6 min read Continue working with the Polars library while being able to color and style the table