متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
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
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تُعد قناة Machine Learning (@machinelearning9) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 208 مشتركاً، محتلاً المرتبة 3 344 في فئة التكنولوجيات والتطبيقات والمرتبة 228 في منطقة سوريا.
📊 مؤشرات الجمهور والحراك
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- حالة التحقق: غير موثّقة
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📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikho”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 04 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
40 208
المشتركون
+924 ساعات
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أرشيف المشاركات
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
40 209
📌 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
