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

📈 تحلیل کانال تلگرام Machine Learning

کانال Machine Learning (@machinelearning9) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 237 مشترک است و جایگاه 3 336 را در دسته فناوری و برنامه‌ها و رتبه 227 را در منطقه سوريا دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 237 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 04 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 343 و در ۲۴ ساعت گذشته برابر 16 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 1.92% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.89% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 771 بازدید دریافت می‌کند. در اولین روز معمولاً 761 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 3 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 05 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.

40 237
مشترکین
+1624 ساعت
+837 روز
+34330 روز
آرشیو پست ها
Ever wished you could dive into epic Cdramas with perfect English subtitles, just as they drop in China? Discover the hottest
Ever wished you could dive into epic Cdramas with perfect English subtitles, just as they drop in China? Discover the hottest new episodes, exclusive reactions, and real Cdrama fans at THE JOURNEY OF LEGEND | ENG SUBTITLES 🎞️. Don’t miss out on what everyone’s talking about— start your journey here and enjoy every scene in English! #ad InsideAds.

📌 How to Create a Network Chart in Tableau 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-11-05 | ⏱️ Read time: 8 min read A
📌 How to Create a Network Chart in Tableau 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-11-05 | ⏱️ Read time: 8 min read A Step-by-Step Guide to Network Visualization in Tableau

📌 I Tested Frontline M-LLMs on Their Chart Interpretation Skills 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-11-05 | ⏱️ Re
📌 I Tested Frontline M-LLMs on Their Chart Interpretation Skills 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-11-05 | ⏱️ Read time: 35 min read Can multimodal LLMs infer basic charts accurately?

📌 Building a Convolutional Neural Network (CNNs) from Scratch 🗂 Category: 🕒 Date: 2024-11-05 | ⏱️ Read time: 15 min read L
📌 Building a Convolutional Neural Network (CNNs) from Scratch 🗂 Category: 🕒 Date: 2024-11-05 | ⏱️ Read time: 15 min read Line-by-Line, Let’s Build a ResNet Classifier on the MNIST-Fashion Dataset

📌 Log Breadcrumbs: only show Logs leading up to an Error 🗂 Category: CODING 🕒 Date: 2024-11-05 | ⏱️ Read time: 5 min read
📌 Log Breadcrumbs: only show Logs leading up to an Error 🗂 Category: CODING 🕒 Date: 2024-11-05 | ⏱️ Read time: 5 min read Hot to log Breadcrumbs using Python’s built-int logging package

Join today and get 150% bonus! We will turn £100->£250 #ad InsideAds
Join today and get 150% bonus! We will turn £100->£250 #ad InsideAds

📌 Least Squares Regression, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 20
📌 Least Squares Regression, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-05 | ⏱️ Read time: 11 min read Gliding through points to minimize squares

📌 Forecasting the Future: How Can We Predict Tomorrow’s Demand Using Yesterday’s Insights? 🗂 Category: DATA SCIENCE 🕒 Date
📌 Forecasting the Future: How Can We Predict Tomorrow’s Demand Using Yesterday’s Insights? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-05 | ⏱️ Read time: 13 min read Demand planners and other company stakeholders use forecasts to anticipate future needs and adjust supply…

📌 User Studies for Enterprise Tools: HCI in the Industry 🗂 Category: 🕒 Date: 2024-11-06 | ⏱️ Read time: 8 min read Insight
📌 User Studies for Enterprise Tools: HCI in the Industry 🗂 Category: 🕒 Date: 2024-11-06 | ⏱️ Read time: 8 min read Insights as an HCI research scientist in an industry catered to building tooling for enterprises

📌 Easy Hurricane Tracking with Tropycal 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-11-06 | ⏱️ Read time: 8 min read A gre
📌 Easy Hurricane Tracking with Tropycal 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-11-06 | ⏱️ Read time: 8 min read A great Python package for storm analysis

📌 Predict Housing Price using Linear Regression in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-06 | ⏱️ Read time: 16 m
📌 Predict Housing Price using Linear Regression in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-06 | ⏱️ Read time: 16 min read A walk-through of cost computation, gradient descent, and regularization using Boston Housing dataset

📌 The Theory of Universal Computation: Bayesian Optimality, Solomonoff Induction & AIXI 🗂 Category: ARTIFICIAL INTELLIGENCE
📌 The Theory of Universal Computation: Bayesian Optimality, Solomonoff Induction & AIXI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-22 | ⏱️ Read time: 25 min read Is it possible to build a perfect induction machine?

📌 Data-Driven Journey Optimization: Using Deep Learning to Design Customer Journeys 🗂 Category: DATA SCIENCE 🕒 Date: 2024-
📌 Data-Driven Journey Optimization: Using Deep Learning to Design Customer Journeys 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-06 | ⏱️ Read time: 8 min read Can ML models learn to construct optimal customer journeys?

📌 Kickstart Your Data Science Journey – A Guide for Aspiring Data Scientists 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2
📌 Kickstart Your Data Science Journey – A Guide for Aspiring Data Scientists 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-06 | ⏱️ Read time: 19 min read Key Technical Skills You Need to Kick-start Your Career in Data Science

📌 An Introduction to VLMs: The Future of Computer Vision Models 🗂 Category: 🕒 Date: 2024-11-06 | ⏱️ Read time: 13 min read
📌 An Introduction to VLMs: The Future of Computer Vision Models 🗂 Category: 🕒 Date: 2024-11-06 | ⏱️ Read time: 13 min read Building a 28% more accurate multimodal image search engine with VLMs.

✨ Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration ✨ 📖 Table of Contents Setting Up LLaVA/BakLLaVA with vLLM
✨ Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration ✨ 📖 Table of Contents Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration Why vLLM for Multimodal Inference The Challenges of Serving Image + Text Prompts at Scale Why Vanilla Approaches Fall Short How vLLM Solves Real-World Production Workloads Configuring Your…... 🏷️ #DeepLearning #ModelDeployment #Tutorial #vLLM

📌 MIT Battlecode Reflections: A First-Time Finalist’s Takeaways 🗂 Category: GAMING 🕒 Date: 2024-11-07 | ⏱️ Read time: 18 m
📌 MIT Battlecode Reflections: A First-Time Finalist’s Takeaways 🗂 Category: GAMING 🕒 Date: 2024-11-07 | ⏱️ Read time: 18 min read Key Takeaways from a First-Time Contestant

📌 Adopting Spark Connect 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-11-07 | ⏱️ Read time: 19 min read How we use a shared S
📌 Adopting Spark Connect 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-11-07 | ⏱️ Read time: 19 min read How we use a shared Spark server to make our Spark infrastructure more efficient

📌 Tracing the Transformer in Diagrams 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-07 | ⏱️ Read time: 17 min read What exactl
📌 Tracing the Transformer in Diagrams 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-07 | ⏱️ Read time: 17 min read What exactly do you put in, what exactly do you get out, and how do…

📌 Random Forest, Explained: A Visual Guide with Code Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-07 | ⏱️ Read time:
📌 Random Forest, Explained: A Visual Guide with Code Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-07 | ⏱️ Read time: 15 min read Making tree-mendous predictions with random trees