Machine Learning – Telegram
Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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📌 RoPE, Clearly Explained

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-29 | ⏱️ Read time: 8 min read

Going beyond the math to build intuition

#DataScience #AI #Python
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📌 The Unbearable Lightness of Coding

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-01-29 | ⏱️ Read time: 9 min read

Confessions of a vibe coder

#DataScience #AI #Python
📌 Randomization Works in Experiments, Even Without Balance

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-29 | ⏱️ Read time: 10 min read

Randomization usually balances confounders in experiments, but what happens when it doesn’t?

#DataScience #AI #Python
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📌 Creating an Etch A Sketch App Using Python and Turtle

🗂 Category: PROGRAMMING

🕒 Date: 2026-01-30 | ⏱️ Read time: 7 min read

A beginner-friendly Python tutorial

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📌 Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the “Bag of Agents”

🗂 Category: AGENTIC AI

🕒 Date: 2026-01-30 | ⏱️ Read time: 27 min read

Hard-won lessons on how to scale agentic systems without scaling the chaos, including a taxonomy…

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📌 On the Possibility of Small Networks for Physics-Informed Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-30 | ⏱️ Read time: 20 min read

A new kind of hyperparameter study

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📌 Multi-Attribute Decision Matrices, Done Right

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-30 | ⏱️ Read time: 7 min read

How to structure decisions, identify efficient options, and avoid misleading value metrics

#DataScience #AI #Python
📌 How to Run Claude Code for Free with Local and Cloud Models from Ollama

🗂 Category: PROGRAMMING

🕒 Date: 2026-01-31 | ⏱️ Read time: 16 min read

Ollama now offers Anthropic API compatibility

#DataScience #AI #Python
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📌 How to Apply Agentic Coding to Solve Problems

🗂 Category: AGENTIC AI

🕒 Date: 2026-01-31 | ⏱️ Read time: 7 min read

Learn how to efficiently solve problems with coding agents

#DataScience #AI #Python
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📌 Distributed Reinforcement Learning for Scalable High-Performance Policy Optimization

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-02-01 | ⏱️ Read time: 20 min read

Leveraging massive parallelism, asynchronous updates, and multi-machine training to match and exceed human-level performance

#DataScience #AI #Python
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📌 Silicon Darwinism: Why Scarcity Is the Source of True Intelligence

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-02 | ⏱️ Read time: 9 min read

We are confusing “size” with “smart.” The next leap in artificial intelligence will not come…

#DataScience #AI #Python
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📌 Building Systems That Survive Real Life

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2026-02-02 | ⏱️ Read time: 4 min read

Sara Nobrega on the transition from data science to AI engineering, using LLMs as a…

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📌 The Proximity of the Inception Score as an Evaluation Criterion

🗂 Category: DEEP LEARNING

🕒 Date: 2026-02-03 | ⏱️ Read time: 7 min read

The neighborhood of synthetic data

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📌 Routing in a Sparse Graph: a Distributed Q-Learning Approach

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-02-03 | ⏱️ Read time: 10 min read

Distributed agents need only decide one move ahead.

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📌 YOLOv2 & YOLO9000 Paper Walkthrough: Better, Faster, Stronger

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-03 | ⏱️ Read time: 24 min read

From YOLOv1 to YOLOv2: prior box, k-means, Darknet-19, passthrough layer, and more

#DataScience #AI #Python
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📌 Creating a Data Pipeline to Monitor Local Crime Trends

🗂 Category: DATA SCIENCE

🕒 Date: 2026-02-03 | ⏱️ Read time: 19 min read

A walkthough of creating an ETL pipeline to extract local crime data and visualize it…

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📌 How to Work Effectively with Frontend and Backend Code

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-02-04 | ⏱️ Read time: 6 min read

Learn how to be an effective full-stack engineer with Claude Code

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🚀 Master Data Science & Programming!

Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!


🔰 Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://news.1rj.ru/str/CodeProgrammer

🔖 Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://news.1rj.ru/str/DataScienceM

🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
https://news.1rj.ru/str/DataScience4

🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://news.1rj.ru/str/DataScienceQ

💾 Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://news.1rj.ru/str/datasets1

🧑‍🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://news.1rj.ru/str/DataScienceC

😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://news.1rj.ru/str/DataScienceT

💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://news.1rj.ru/str/DataScience9

🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://news.1rj.ru/str/PythonArab

🖊 Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://news.1rj.ru/str/DataScienceN

📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://news.1rj.ru/str/DataScienceV

📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://news.1rj.ru/str/DataAnalyticsX

🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://news.1rj.ru/str/Python53

⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://news.1rj.ru/str/DataScienceY

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📌 How to Build Your Own Custom LLM Memory Layer from Scratch

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-02-04 | ⏱️ Read time: 16 min read

Step-by-step guide to building autonomous memory retrieval systems

#DataScience #AI #Python
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📌 Plan–Code–Execute: Designing Agents That Create Their Own Tools

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-04 | ⏱️ Read time: 24 min read

The case against pre-built tools in Agentic Architectures

#DataScience #AI #Python
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