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
شبکه:📈 تحلیل کانال تلگرام Machine Learning
کانال Machine Learning (@machinelearning9) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 273 مشترک است و جایگاه 3 347 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 40 273 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 07 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 352 و در ۲۴ ساعت گذشته برابر 21 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 2.23% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.88% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 896 بازدید دریافت میکند. در اولین روز معمولاً 758 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 08 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.
40 273
مشترکین
+2124 ساعت
+957 روز
+35230 روز
آرشیو پست ها
40 273
📌 LightGBM: The Fastest Option of Gradient Boosting
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-12 | ⏱️ Read time: 7 min read
Learn how to implement a fast and effective Gradient Boosting model using Python
40 273
📌 What Would a Stoic Do? – An AI-Based Decision-Making Model
🗂 Category: DEEP LEARNING
🕒 Date: 2025-01-12 | ⏱️ Read time: 14 min read
Using AI to build Marcus Aurelius’ reincarnation
40 273
📌 What is MicroPython? Do I Need to Know it as a Data Scientist?
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min read
In this year’s edition of the Stack Overflow survey, MicroPython is with 1.6% in the…
40 273
📌 Using Constraint Programming to Solve Math Theorems
🗂 Category: MATHEMATICS
🕒 Date: 2025-01-12 | ⏱️ Read time: 6 min read
Case study: the quasigroups existence problem
40 273
📌 Speed up Pandas code with Numpy
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-13 | ⏱️ Read time: 13 min read
But I can’t vectorise this, can I? …. yes, you probably can!
40 273
📌 How to Build a Knowledge Graph in Minutes (And Make It Enterprise-Ready)
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read
I tried and failed creating one-but it was when LLMs were not a thing!
40 273
📌 Understanding the Evolution of ChatGPT: Part 2 – GPT-2 and GPT-3
🗂 Category: DEEP LEARNING
🕒 Date: 2025-01-13 | ⏱️ Read time: 10 min read
Scaling from 117M to 175B: Insights into GPT-2 and GPT-3.
40 273
📌 Going Beyond Bias-Variance Tradeoff Into Double Descent Phenomenon
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read
It’s not how many times you get knocked down that count, it’s how many times…
40 273
📌 A Multimodal AI Assistant: Combining Local and Cloud Models
🗂 Category:
🕒 Date: 2025-01-13 | ⏱️ Read time: 22 min read
Use LangGraph, mlx and Florence2 to build an agent that answers complex image questions, with…
40 273
📌 Contextual Topic Modelling in Chinese Corpora with KeyNMF
🗂 Category: NATURAL LANGUAGE PROCESSING
🕒 Date: 2025-01-13 | ⏱️ Read time: 8 min read
A comprehensive guide on getting the most out of your Chinese topic models, from preprocessing…
40 273
📌 The AI (R)Evolution, Looking From 2024 Into the Immediate Future
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-13 | ⏱️ Read time: 17 min read
Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human development
40 273
📌 Understanding Flash Attention: Writing the Algorithm from Scratch in Triton
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-15 | ⏱️ Read time: 7 min read
Find out how Flash Attention works. Afterward, we’ll refine our understanding by writing a GPU…
40 273
📌 Qubits Explained: Everything You Need to Know
🗂 Category: PHYSICS
🕒 Date: 2025-01-15 | ⏱️ Read time: 11 min read
A deep dive into the building block of quantum computers.
40 273
📌 Water Cooler Small Talk, Ep 6: Benford’s Law
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-15 | ⏱️ Read time: 10 min read
A look into the strange first digit distribution of naturally occurring datasets
40 273
📌 Developing an AI-Powered Smart Guide for Business Planning & Entrepreneurship
🗂 Category: ENTREPRENEURSHIP
🕒 Date: 2025-01-16 | ⏱️ Read time: 35 min read
A LangGraph-based advanced agentic RAG with standard business guides, AI-based web search, trusted sources, and…
40 273
📌 The Death of Human-Written Code Tutorials in the ChatGPT Era … Or Not?
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-16 | ⏱️ Read time: 11 min read
An argument in favor of human-written coding tutorials in the new age of LLMs.
40 273
📌 Why Data Scientists Can’t Afford Too Many Dimensions and What They Can Do About It
🗂 Category: DEEP LEARNING
🕒 Date: 2025-01-16 | ⏱️ Read time: 17 min read
An in-depth article about dimensionality reduction and its most popular methods
40 273
📌 Charts, Dashboards, Maps, and More: Data Visualization in the Spotlight
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-16 | ⏱️ Read time: 4 min read
Our weekly selection of must-read Editors’ Picks and original features
40 273
📌 The Large Language Model Course
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-16 | ⏱️ Read time: 21 min read
How to become an LLM Scientist or Engineer from scratch
40 273
📌 No Peeking Ahead: Time-Aware Graph Fraud Detection
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-09-14 | ⏱️ Read time: 15 min read
How to implement leak-free graph fraud detection
