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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📌 Use OpenClaw to Make a Personal AI Assistant

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-17 | ⏱️ Read time: 10 min read

Learn how to set up OpenClaw as a personalized AI agent

#DataScience #AI #Python
📌 Can AI Solve Failures in Your Supply Chain?

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-18 | ⏱️ Read time: 16 min read

When your warehouse and transportation teams blame each other for late deliveries, who’s right? We…

#DataScience #AI #Python
📌 Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-02-18 | ⏱️ Read time: 13 min read

Designing a hybrid SQL + vector retrieval system without schema changes, data migration, or performance…

#DataScience #AI #Python
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📌 Why Every Analytics Engineer Needs to Understand Data Architecture

🗂 Category: DATA ENGINEERING

🕒 Date: 2026-02-18 | ⏱️ Read time: 11 min read

Get the data architecture right, and everything else becomes easier. I know it sounds simple,…

#DataScience #AI #Python
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📌 Agentic AI for Modern Deep Learning Experimentation

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-18 | ⏱️ Read time: 14 min read

Stop babysitting training runs. Start shipping research. Autonomous experiment management built for/by deep learning engineers.

#DataScience #AI #Python
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📌 The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding Agents

🗂 Category: PROGRAMMING

🕒 Date: 2026-02-19 | ⏱️ Read time: 13 min read

AI can write the code, but you have to steer the ship. Master the knowledge…

#DataScience #AI #Python
📌 Understanding the Chi-Square Test Beyond the Formula

🗂 Category: STATISTICS

🕒 Date: 2026-02-19 | ⏱️ Read time: 17 min read

How categorical data becomes statistical evidence.

#DataScience #AI #Python
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📌 AlpamayoR1: Large Causal Reasoning Models for Autonomous Driving

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-19 | ⏱️ Read time: 9 min read

All you need to know about Chain of Causation reasoning and the current state of…

#DataScience #AI #Python
2
📌 AI in Multiple GPUs: How GPUs Communicate

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-19 | ⏱️ Read time: 5 min read

A deep dive into the hardware infrastructure that enables multi-GPU communication for AI workloads

#DataScience #AI #Python
📌 Donkeys, Not Unicorns

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-20 | ⏱️ Read time: 8 min read

The New Rules of Entrepreneurship in the Era of Commoditized Magic

#DataScience #AI #Python
📌 An End-to-End Guide to Beautifying Your Open-Source Repo with Agentic AI

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-02-20 | ⏱️ Read time: 17 min read

The guide to automated improvement of scientific and industrial repositories using open-source AI agents

#DataScience #AI #Python
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📌 From Monolith to Contract-Driven Data Mesh

🗂 Category: DATA SCIENCE

🕒 Date: 2026-02-20 | ⏱️ Read time: 12 min read

A pragmatic journey using website analytics as a real-world example

#DataScience #AI #Python
2
📌 Architecting GPUaaS for Enterprise AI On-Prem

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-21 | ⏱️ Read time: 16 min read

Multi-tenancy, scheduling, and cost modeling on Kubernetes

#DataScience #AI #Python
Data Science Roadmap.pdf
15.5 MB
🏷 Comprehensive Data Science Roadmap Notes

This roadmap is exactly the secret recipe you need to get out of confusion and know how to step-by-step prepare yourself for the job market.

🕡 From mastering Python and SQL to cleaning data and working with cloud tools, which are prerequisites for any project.

🕑 How to extract real analysis reports and strategies from raw data using statistics and visualization tools.

🕗 You will learn everything from machine learning and advanced algorithms to precise model evaluation.

🕙 Get familiar with neural networks, generative artificial intelligence, and language models to have a voice in today's modern world.

🕧 How to build real projects and portfolios that are exactly what hiring managers and big companies are looking for.

🌐 #DataScience #DataScience #pytorch #python #Roadmap

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📌 The Reality of Vibe Coding: AI Agents and the Security Debt Crisis

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-02-22 | ⏱️ Read time: 6 min read

Why optimizing for speed over safety is leaving applications vulnerable, and how to fix it.

#DataScience #AI #Python
2
📌 Is the AI and Data Job Market Dead?

🗂 Category: DATA SCIENCE

🕒 Date: 2026-02-23 | ⏱️ Read time: 8 min read

What you should be doing in the current job market

#DataScience #AI #Python
📌 PySpark for Pandas Users

🗂 Category: DATA ENGINEERING

🕒 Date: 2026-02-23 | ⏱️ Read time: 16 min read

Common Pandas operations and their equivalents in PySpark

#DataScience #AI #Python
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1
📌 AI in Multiple GPUs: Gradient Accumulation & Data Parallelism

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-23 | ⏱️ Read time: 9 min read

Learn and implement gradient accum and data parallelism from scratch in PyTorch

#DataScience #AI #Python
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