اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
Machine Learning
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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
شبکه:📈 تحلیل کانال تلگرام Machine Learning
کانال Machine Learning (@machinelearning9) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 244 مشترک است و جایگاه 3 343 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 40 244 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 05 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 346 و در ۲۴ ساعت گذشته برابر 22 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 1.97% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.86% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 794 بازدید دریافت میکند. در اولین روز معمولاً 749 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 06 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.
40 244
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+2224 ساعت
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آرشیو پست ها
40 244
📌 Building a Research Agent That Can Write to Google Docs (Part 1)
🗂 Category:
🕒 Date: 2024-11-20 | ⏱️ Read time: 18 min read
A tool that might help with your homework
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📌 Building a Research Assistant That Can Write to Google Docs (Part 2)
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-11-20 | ⏱️ Read time: 14 min read
A tool that might help with your homework
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📌 Your Data Quality Checks Are Worth Less (Than You Think)
🗂 Category: ANALYTICS
🕒 Date: 2024-11-20 | ⏱️ Read time: 6 min read
How to deliver outsized value on your data quality program
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📌 Boost Your Python Code with CUDA
🗂 Category: DATA SCIENCE
🕒 Date: 2024-11-20 | ⏱️ Read time: 12 min read
Target your GPU easily with Numba’s CUDA JIT
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📌 How to Build a Data-Driven Customer Management System
🗂 Category: BUSINESS
🕒 Date: 2024-11-20 | ⏱️ Read time: 16 min read
A High-Level Framework for Building a CBM System with Strategic Impact
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📌 Is ReFT All We Needed?
🗂 Category: DEEP LEARNING
🕒 Date: 2024-11-21 | ⏱️ Read time: 6 min read
Representation Fintuning – Beyond the PEFT Techniques for fine-tuning LLMs
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📌 How to Easily Deploy a Local Generative Search Engine Using VerifAI
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2024-11-21 | ⏱️ Read time: 10 min read
An open-source initiative to help you deploy generative search based on your local files and…
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📌 Getting Started with Multimodal AI, One-Hot Encoding, and Other Beginner-Friendly Guides
🗂 Category: DATA SCIENCE
🕒 Date: 2024-11-21 | ⏱️ Read time: 5 min read
Our weekly selection of must-read Editors’ Picks and original features
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📌 Explaining LLMs for RAG and Summarization
🗂 Category: DATA SCIENCE
🕒 Date: 2024-11-21 | ⏱️ Read time: 9 min read
A fast and low-resource method using similarity-based attribution
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📌 Building a Vision Inspection CNN for an Industrial Application
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🕒 Date: 2024-11-21 | ⏱️ Read time: 34 min read
A step-by-step approach using PyTorch
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📌 Cluster While Predict: Iterative Methods for Regression and Classification
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-11-21 | ⏱️ Read time: 11 min read
Predictive and prescriptive analytics to bridge the gap between segmentation and prediction for real-world applications
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📌 Leverage Python Inheritance in ML projects
🗂 Category: DATA SCIENCE
🕒 Date: 2024-11-21 | ⏱️ Read time: 6 min read
Learn how to implement coding best practices to avoid tech debts
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📌 The SyncNet Research Paper, Clearly Explained
🗂 Category: DEEP LEARNING
🕒 Date: 2025-09-20 | ⏱️ Read time: 11 min read
A Deep Dive into “Out of Time: Automated Lip Sync in the Wild”
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📌 Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-09-20 | ⏱️ Read time: 12 min read
A hands-on example of building a time-series anomaly detection system entirely through visualization and prompting
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📌 Graph Neural Networks: Fraud Detection and Protein Function Prediction
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-11-21 | ⏱️ Read time: 8 min read
Understanding AI applications in bio for machine learning engineers
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📌 ChatGPT: Two Years Later
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🕒 Date: 2024-11-21 | ⏱️ Read time: 25 min read
Tracing the impact of the generative AI revolution
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📌 Dynamic Visualizations in Python
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🕒 Date: 2024-11-21 | ⏱️ Read time: 8 min read
How to animate plots with OpenCV and Matplotlib
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📌 Neuromorphic Computing – an Edgier, Greener AI
🗂 Category: DEEP LEARNING
🕒 Date: 2024-11-22 | ⏱️ Read time: 18 min read
There are periodic proclamations of the coming neuromorphic computing revolution. While there remain substantial challenges…
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📌 NuCS: A Constraint Solver for Research, Teaching, and Production Applications
🗂 Category: DATA SCIENCE
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Blazing-fast constraint solving in pure Python
