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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📌 A Little More Conversation, A Little Less Action — A Case Against Premature Data Integration

🗂 Category: DATA SCIENCE

🕒 Date: 2025-03-28 | ⏱️ Read time: 14 min read

Running a large data integration project before embarking on the ML part is easily a…
📌 Master the 3D Reconstruction Process: A Step-by-Step Guide

🗂 Category: DATA SCIENCE

🕒 Date: 2025-03-28 | ⏱️ Read time: 17 min read

Learn the complete 3D reconstruction pipeline from feature extraction to dense matching. Master photogrammetry with…
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📌 AI Agents from Scratch: Multi-Agent System

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-03-28 | ⏱️ Read time: 14 min read

From Zero to Hero using only Python & Ollama (no GPU, no APIKEY)
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📌 From Physics to Probability: Hamiltonian Mechanics for Generative Modeling and MCMC

🗂 Category: MATH

🕒 Date: 2025-03-28 | ⏱️ Read time: 17 min read

Hamiltonian mechanics is a way to describe how physical systems, like planets or pendulums, move…
📌 Data Science: From School to Work, Part III

🗂 Category: DATA SCIENCE

🕒 Date: 2025-03-27 | ⏱️ Read time: 12 min read

Good practices for Python error handling and logging
📌 Japanese-Chinese Translation with GenAI: What Works and What Doesn’t

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-03-27 | ⏱️ Read time: 20 min read

Evaluating GenAI in Japanese-Chinese translation: current limits and opportunities
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📌 Talk to Videos

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-03-27 | ⏱️ Read time: 28 min read

Developing an interactive AI application for video-based learning in education and business
📌 How to Streamline Your Work with Agents and LLMs

🗂 Category: THE VARIABLE

🕒 Date: 2025-03-27 | ⏱️ Read time: 3 min read

This week, we focus on helping you improve your workflow with AI.
📌 About Towards Data Science

🗂 Category: ABOUT

🕒 Date: 2025-03-27 | ⏱️ Read time: 2 min read

We strive to present well-written, informative articles that our audience is excited to read.
📌 Automate Supply Chain Analytics Workflows with AI Agents using n8n

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-03-26 | ⏱️ Read time: 6 min read

What if you could automate complete supply chain analytics workflows  with low-code solutions?
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📌 AI Agents from Scratch: Iterations & Chains

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-03-26 | ⏱️ Read time: 7 min read

From Zero to Hero using only Python & Ollama (no GPU, no APIKEY)
📌 Uncertainty Quantification in Machine Learning with an Easy Python Interface

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-03-26 | ⏱️ Read time: 15 min read

The ML Uncertainty Package
📌 The Ultimate AI/ML Roadmap For Beginners

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-03-25 | ⏱️ Read time: 10 min read

How to learn AI/ML from scratch
📌 Attractors in Neural Network Circuits: Beauty and Chaos

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-03-25 | ⏱️ Read time: 12 min read

Neural networks under a different lens: generating basins of attraction in a shift register NN
📌 Data-Driven March Madness Predictions

🗂 Category: DATA SCIENCE

🕒 Date: 2025-03-25 | ⏱️ Read time: 11 min read

How to optimize your bracket systematically, no college basketball knowledge required
📌 Testing the Power of Multimodal AI Systems in Reading and Interpreting Photographs, Maps, Charts and More

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-03-25 | ⏱️ Read time: 30 min read

Can multimodal AI systems consisting in LLMs with vision capabilities understand figures and extract information…
📌 A Clear Intro to MCP (Model Context Protocol) with Code Examples

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-03-25 | ⏱️ Read time: 16 min read

MCP is a way to democratize access to tools for AI Agents. In this article…
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📌 Supercharge Your RAG with Multi-Agent Self-RAG

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-02-05 | ⏱️ Read time: 15 min read

Introduction Many of us might have tried to build a RAG application and noticed it…
📌 From Resume to Cover Letter Using AI and LLM, with Python and Streamlit

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-02-05 | ⏱️ Read time: 16 min read

DISCLAIMER: The idea of doing Cover Letter or even Resume with AI does not obviously…
📌 ML Feature Management: A Practical Evolution Guide

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-02-04 | ⏱️ Read time: 5 min read

In the world of machine learning, we obsess over model architectures, training pipelines, and hyper-parameter…
📌 Towards Data Science is Launching as an Independent Publication

🗂 Category:

🕒 Date: 2025-02-03 | ⏱️ Read time: 7 min read

Since founding Towards Data Science in 2016, we’ve built the largest publication on Medium with…