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📈 تحلیل کانال تلگرام Machine Learning
کانال Machine Learning (@machinelearning9) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 208 مشترک است و جایگاه 3 344 را در دسته فناوری و برنامهها و رتبه 228 را در منطقه سوريا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 208 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 03 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 338 و در ۲۴ ساعت گذشته برابر 9 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 2.04% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.42% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 822 بازدید دریافت میکند. در اولین روز معمولاً 973 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 04 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.
40 208
مشترکین
+924 ساعت
+727 روز
+33830 روز
آرشیو پست ها
40 209
📌 Nine Rules for Running Rust on WASM WASI
🗂 Category: PROGRAMMING
🕒 Date: 2024-09-28 | ⏱️ Read time: 16 min read
Practical Lessons from Porting range-set-blaze to this Container-Like Environment
40 209
📌 Model Deployment with FastAPI, Azure, and Docker
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-09-28 | ⏱️ Read time: 11 min read
A Complete Guide to Serving a Machine Learning Model with FastAPI
40 209
📌 Exploring the Link between Sleep Disorders and Health Indicators
🗂 Category: DATA SCIENCE
🕒 Date: 2024-09-28 | ⏱️ Read time: 16 min read
A Python analysis of a MIMIC-IV health data (DREAMT) to uncover insights into factors affecting…
40 209
📌 Hands-On Optimization Using Genetic Algorithms, with Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-09-29 | ⏱️ Read time: 15 min read
Here’s a full guide on genetic algorithms, what they are, and how to use them
40 209
📌 How to Get Pull Request Data Using GitHub API
🗂 Category: DATA SCIENCE
🕒 Date: 2024-09-29 | ⏱️ Read time: 5 min read
Getting the diff between any two commits
40 209
📌 What’s Inside a Neural Network?
🗂 Category: DATA SCIENCE
🕒 Date: 2024-09-29 | ⏱️ Read time: 5 min read
Plotting surface of error in 3D using PyTorch
40 209
📌 To Mask or Not to Mask: The Effect of Prompt Tokens on Instruction Tuning
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-09-30 | ⏱️ Read time: 37 min read
Implementing prompt-loss-weight, and why we should replace prompt-masking with prompt-weighting
40 209
📌 Eulerian Melodies: Graph Algorithms for Music Composition
🗂 Category: GRAPH THEORY
🕒 Date: 2025-09-28 | ⏱️ Read time: 15 min read
Conceptual overview and an end-to-end Python implementation
40 209
Repost from Machine Learning with Python
🏳️🌈 Learning Python for science is
✅ with these 8 awesome GitHub repos!
🖥 Repo: Project Based Learning
💬 One of the most famous educational repos with 230K+ stars that implements various algorithms and projects using Python.
➖ ➖ ➖
🖥 Repo: Real Python Materials
💬 Supplementary resources and exercises including project-based tutorials, guides, and practical exercises.
➖ ➖ ➖
🖥 Repo: Learn By Doing
💬 Project-based tutorials in AI and machine learning for all levels.
➖ ➖ ➖
🖥 Repo: Awesome Jupyter
💬 A curated collection of notebooks, tools, and powerful libraries for working with Jupyter.
➖ ➖ ➖
🖥 Repo: Python Mini Projects
💬 A collection of mini-projects like games and small apps that you can quickly run and practice.
➖ ➖ ➖
🖥 Repo: 100Projects of Code
💬 An educational challenge including 100 real projects; you practice and see your progress day by day.
➖ ➖ ➖
🖥 Repo: Data Science Projects
💬 Practical ideas and examples to start data science with Python.
➖ ➖ ➖
🖥 Repo: Python Project Scripts
💬 Small and large scripting projects, from beginner to advanced levels.
By: https://t.me/CodeProgrammer ✈️
40 209
📌 The AI Developer’s Dilemma: Proprietary AI vs. Open Source Ecosystem
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2024-09-30 | ⏱️ Read time: 20 min read
Fundamental Choices Impacting Integration and Deployment at Scale of GenAI into Businesses
40 209
📌 Evaluating Train-Test Split Strategies in Machine Learning: Beyond the Basics
🗂 Category: DATA SCIENCE
🕒 Date: 2024-09-30 | ⏱️ Read time: 6 min read
Creating Appropriate Test Sets and Sleeping Soundly.
40 209
📌 Stein’s Paradox
🗂 Category: DATA SCIENCE
🕒 Date: 2024-09-30 | ⏱️ Read time: 8 min read
Why the Sample Mean Isn’t Always the Best
40 209
📌 Is Less More? Do Deep Learning Forecasting Models Need Feature Reduction?
🗂 Category: ANALYTICS
🕒 Date: 2024-09-30 | ⏱️ Read time: 14 min read
To curate, or not to curate, that is the question
40 209
📌 Exploring the World of Markov Chains: Unlocking the Power of Probabilistic Transitions
🗂 Category: PROBABILITY
🕒 Date: 2024-09-30 | ⏱️ Read time: 11 min read
An Introduction to Markov Chains, their applications, and how to use Monte Carlo Simulations in…
40 209
📌 5 Must-Know Techniques for Mastering Time-Series Analysis
🗂 Category: DATA SCIENCE
🕒 Date: 2024-09-30 | ⏱️ Read time: 22 min read
Elevate Your Machine Learning Forecasting with Accurate Data Splitting, Time-Series Cross-Validation, Feature Engineering, and More!
40 209
📌 Evaluating performance of LLM-based Applications
🗂 Category:
🕒 Date: 2024-09-30 | ⏱️ Read time: 9 min read
Evaluation Framework for real-world requirements
40 209
📌 Can Transformers Solve Everything?
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-10-01 | ⏱️ Read time: 15 min read
Looking into the math and the data reveals that transformers are both overused and underused.
40 209
📌 Support Vector Classifier, Explained: A Visual Guide with Mini 2D Dataset
🗂 Category: DATA SCIENCE
🕒 Date: 2024-10-01 | ⏱️ Read time: 17 min read
Finding the best “line” to separate the classes? Yeah, sure…
40 209
📌 What I Learned in my First 9 Months as a Freelance Data Scientist
🗂 Category: DATA SCIENCE
🕒 Date: 2024-10-01 | ⏱️ Read time: 24 min read
Observations and lessons learned from in the trenches
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📌 Graph Neural Networks Part 1. Graph Convolutional Networks Explained
🗂 Category:
🕒 Date: 2024-10-01 | ⏱️ Read time: 12 min read
Node classification with Graph Convolutional Networks
