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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📌 An Introduction to Remote Model Context Protocol Servers

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-01 | ⏱️ Read time: 15 min read

Writing, testing and using them.
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📌 Implementing IBCS rules in Power BI

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-07-01 | ⏱️ Read time: 12 min read

Is there a way to use the out-of-the-box features of Power BI to be IBCS…
📌 Revisiting Benchmarking of Tabular Reinforcement Learning Methods

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-07-01 | ⏱️ Read time: 9 min read

Introducing a modular framework and improving model performance.
📌 From Reporting to Reasoning: How AI Is Rewriting the Rules of Data App Development

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-01 | ⏱️ Read time: 2 min read

Explore the shift from static reports to intelligent apps with our first ebook.
📌 Prenoscriptive Modeling Makes Causal Bets – Whether You Know it or Not!

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-30 | ⏱️ Read time: 16 min read

An explanation of the causal assumption implicit in prenoscriptive modeling and how to satisfy it.
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📌 A Gentle Introduction to Backtracking

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-30 | ⏱️ Read time: 7 min read

Conceptual overview and hands-on examples
📌 Lessons Learned After 6.5 Years Of Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-06-30 | ⏱️ Read time: 7 min read

Deep work, trends, data, and research
📌 From Pixels to Plots

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-30 | ⏱️ Read time: 16 min read

How I built an AI-powered prototype to turn images into insights
📌 Become a Better Data Scientist with These Prompt Engineering Tips and Tricks

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-06-30 | ⏱️ Read time: 11 min read

Part 1: prompt engineering for planning, cleaning, and EDA
📌 The End-to-End Data Scientist’s Prompt Playbook

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-08 | ⏱️ Read time: 10 min read

Part 3: Prompts for docs, DevOps, and stakeholder communication
📌 A Developer’s Guide to Building Scalable AI: Workflows vs Agents

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-27 | ⏱️ Read time: 38 min read

A practical guide to choosing between AI agents and workflows for production systems, covering the…
📌 Pipelining AI/ML Training Workloads with CUDA Streams

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-06-26 | ⏱️ Read time: 12 min read

PyTorch Model Performance Analysis and Optimization — Part 9
📌 A Caching Strategy for Identifying Bottlenecks on the Data Input Pipeline

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-06-26 | ⏱️ Read time: 16 min read

PyTorch model performance analysis and optimization — Part 8
📌 Hitchhiker’s Guide to RAG with ChatGPT API and LangChain

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-26 | ⏱️ Read time: 7 min read

Build a simple Python RAG pipeline using your local files as context
📌 Data Science: From School to Work, Part V

🗂 Category: PROGRAMMING

🕒 Date: 2025-06-26 | ⏱️ Read time: 18 min read

How to profile your Python project
📌 The Mythical Pivot Point from Buy to Build for Data Platforms

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-06-26 | ⏱️ Read time: 10 min read

For companies with data-intensive architectures, there often comes a pivotal point where building in-house data…
📌 AI Agent with Multi-Session Memory

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-26 | ⏱️ Read time: 9 min read

Build from scratch using only Python & Ollama (no GPU, no APIKEY)
📌 Use OpenAI Whisper for Automated Trannoscriptions

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-06-25 | ⏱️ Read time: 8 min read

Streamline your computer interactions using OpenAI’s Whisper model
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📌 Economic Cycle Synchronization with Dynamic Time Warping

🗂 Category: ECONOMICS

🕒 Date: 2025-06-25 | ⏱️ Read time: 7 min read

The case of the Eurozone
📌 How to Train a Chatbot Using RAG and Custom Data

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-06-25 | ⏱️ Read time: 6 min read

Retrieval-Augmented Generation made easy with Llama
📌 Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.”

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-25 | ⏱️ Read time: 11 min read

Companies pursuing incremental productivity gains risk being displaced by AI-native competitors building entirely new business…