fa
Feedback
Machine Learning

Machine Learning

رفتن به کانال در Telegram

Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

نمایش بیشتر
Machine Learning with Pythonشبکه:Machine Learning with Pythonسوريا225فناوری و برنامه‌ها3 331

📈 تحلیل کانال تلگرام Machine Learning

کانال Machine Learning (@machinelearning9) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 334 مشترک است و جایگاه 3 331 را در دسته فناوری و برنامه‌ها و رتبه 225 را در منطقه سوريا دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 334 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 10 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 383 و در ۲۴ ساعت گذشته برابر 25 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 2.35% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.95% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 948 بازدید دریافت می‌کند. در اولین روز معمولاً 786 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 4 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند distance, insidead, gpu, learning, degree تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho”

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 11 ژوئیه, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

40 334
مشترکین
+2524 ساعت
+1227 روز
+38330 روز
آرشیو پست ها
Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Step-by-Step Guide to Build and Deploy an LLM-Powered Chat with Memory in Streamlit 🗂 Category: LARGE LANGUAGE MODELS 🕒
📌 Step-by-Step Guide to Build and Deploy an LLM-Powered Chat with Memory in Streamlit 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-01 | ⏱️ Read time: 17 min read And monitor your API usage on Google Cloud Console

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 A Farewell to APMs — The Future of Observability is MCP tools 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-01 | ⏱
📌 A Farewell to APMs — The Future of Observability is MCP tools 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-01 | ⏱️ Read time: 10 min read Like many other fields, the world of observability is about to be turned upside down

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Rust for Python Developers: Why You Should Take a Look at the Rust Programming Language 🗂 Category: PROGRAMMING 🕒 Date:
📌 Rust for Python Developers: Why You Should Take a Look at the Rust Programming Language 🗂 Category: PROGRAMMING 🕒 Date: 2025-05-02 | ⏱️ Read time: 13 min read Discover how Rust complements Python with speed, safety, and control — and why it’s worth…

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Agentic AI 101: Starting Your Journey Building AI Agents 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-02 | ⏱️ Rea
📌 Agentic AI 101: Starting Your Journey Building AI Agents 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-02 | ⏱️ Read time: 12 min read Learn the fundamentals of how to create AI Agents.

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Talking to Kids About AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-02 | ⏱️ Read time: 16 min read “This is you
📌 Talking to Kids About AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-02 | ⏱️ Read time: 16 min read “This is your brain on an LLM”, and other things you shouldn’t say

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Want Better Clusters? Try DeepType 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-02 | ⏱️ Read time: 9 min read A s
📌 Want Better Clusters? Try DeepType 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-02 | ⏱️ Read time: 9 min read A smarter way to cluster data using deep learning

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 The Difference between Duplicate and Reference in Power Query 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-05-02 | ⏱️ Read
📌 The Difference between Duplicate and Reference in Power Query 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-05-02 | ⏱️ Read time: 9 min read In Power Query, we can duplicate or reference existing tables. But what are the differences…

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Why I stopped Using Cursor and Reverted to VSCode 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-02 | ⏱️ Read time:
📌 Why I stopped Using Cursor and Reverted to VSCode 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-02 | ⏱️ Read time: 6 min read Is GitHub Copilot the best AI-assistant for Data Scientists?

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 The Shape‑First Tune‑Up Provides Organizations with a Means to Reduce MongoDB Expenses by 79% 🗂 Category: DATA ENGINEERIN
📌 The Shape‑First Tune‑Up Provides Organizations with a Means to Reduce MongoDB Expenses by 79% 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-05-02 | ⏱️ Read time: 9 min read A real-world engineering fix that saved over $12K/month on MongoDB without upgrading infrastructure.

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Attaining LLM Certainty with AI Decision Circuits 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-02 | ⏱️ Read time: 1
📌 Attaining LLM Certainty with AI Decision Circuits 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-02 | ⏱️ Read time: 15 min read Uncertainty is nothing new in technology  —  all modern systems overcome uncertain inputs and outputs…

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Build and Query Knowledge Graphs with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-02 | ⏱️ Read time: 28 min r
📌 Build and Query Knowledge Graphs with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-05-02 | ⏱️ Read time: 28 min read Going from document ingestion to smart queries — all with open tools and guided setup

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 From a Point to L∞ 🗂 Category: MATH 🕒 Date: 2025-05-02 | ⏱️ Read time: 9 min read How AI uses distance
📌 From a Point to L∞ 🗂 Category: MATH 🕒 Date: 2025-05-02 | ⏱️ Read time: 9 min read How AI uses distance

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Website Feature Engineering at Scale: PySpark, Python & Snowflake 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-05 | ⏱️ Read
📌 Website Feature Engineering at Scale: PySpark, Python & Snowflake 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-05 | ⏱️ Read time: 9 min read Introduction and Problem Imagine you’re staring at a database containing thousands of merchants across multiple…

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Fine-Tuning vLLMs for Document Understanding 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-05 | ⏱️ Read time: 25 min read
📌 Fine-Tuning vLLMs for Document Understanding 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-05 | ⏱️ Read time: 25 min read Learn how you can fine-tune visual language models for specific tasks

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Making Sense of KPI Changes 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-05 | ⏱️ Read time: 15 min read A practical guide to
📌 Making Sense of KPI Changes 🗂 Category: DATA SCIENCE 🕒 Date: 2025-05-05 | ⏱️ Read time: 15 min read A practical guide to understanding what’s really going on

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Diffusion Models, Explained Simply 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-05 | ⏱️ Read time: 7 min read Fro
📌 Diffusion Models, Explained Simply 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-05 | ⏱️ Read time: 7 min read From noise to art: how to generate high-quality images using diffusion models

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 The CNN That Challenges ViT | ConvNeXt 🗂 Category: DEEP LEARNING 🕒 Date: 2025-05-05 | ⏱️ Read time: 24 min read A PyTorc
📌 The CNN That Challenges ViT | ConvNeXt 🗂 Category: DEEP LEARNING 🕒 Date: 2025-05-05 | ⏱️ Read time: 24 min read A PyTorch implementation on the ConvNeXt architecture

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2
📌 Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-05-06 | ⏱️ Read time: 13 min read It’s not just about technical depth, it’s about strategic clarity

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Benchmarking Tabular Reinforcement Learning Algorithms 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-06 | ⏱️ Read time: 2
📌 Benchmarking Tabular Reinforcement Learning Algorithms 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-06 | ⏱️ Read time: 27 min read Comparing all methods from Part I of Sutton’s book on gridworld environments

Machine Learning
Machine Learningverified-telegram-icon
40 334
📌 Make Your Data Move: Creating Animations in Python for Science and Machine Learning 🗂 Category: DATA VISUALIZATION 🕒 Dat
📌 Make Your Data Move: Creating Animations in Python for Science and Machine Learning 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-05-06 | ⏱️ Read time: 6 min read Go beyond static plots with matplotlib.