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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📌 From LangExtract to LangGraph: LLM Optimization, Explained

🗂 Category: THE VARIABLE

🕒 Date: 2025-08-21 | ⏱️ Read time: 3 min read

Cutting-edge workflows, new libraries, and more
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📌 Everything You Need to Know About the New Power BI Storage Mode

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-20 | ⏱️ Read time: 18 min read

50 Shades of Direct Lake
📌 AI Agents for Supply Chain Optimisation: Production Planning

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-20 | ⏱️ Read time: 9 min read

How to integrate an optimisation algorithm in a FastAPI microservice and connect it with an…
📌 Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance

🗂 Category: AGENTIC AI

🕒 Date: 2025-08-20 | ⏱️ Read time: 12 min read

Automating model tuning in Python with Gemini, LangGraph, and Streamlit for regression and classification improvements
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📌 “Where’s Marta?”: How We Removed Uncertainty From AI Reasoning

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-08-20 | ⏱️ Read time: 12 min read

A primer on overcoming LLM limitations with formal verification.
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📌 The Upstream Mentality: Why AI/ML Engineers Must Think Beyond the Model

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-20 | ⏱️ Read time: 13 min read

Your 3am production alert isn’t a model problem—it’s an upstream crisis in disguise
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📌 Building a Modern Dashboard with Python and Tkinter

🗂 Category: PROGRAMMING

🕒 Date: 2025-08-19 | ⏱️ Read time: 20 min read

Create polished GUIs and data dashboards with this versatile library
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📌 Mastering NLP with spaCy – Part 3

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-19 | ⏱️ Read time: 7 min read

Rule-based matching for information extraction
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📌 Help Your Model Learn the True Signal

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-19 | ⏱️ Read time: 15 min read

An algorithm-agnostic approach inspired by Cook’s distance
📌 Capturing and Deploying PyTorch Models with torch.export

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-19 | ⏱️ Read time: 18 min read

A demonstration of PyTorch’s exciting new export feature on a HuggingFace model
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📌 Advanced Prompt Engineering for Data Science Projects

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-19 | ⏱️ Read time: 11 min read

Part 2: Prompt Engineering for Features, Modeling, and Evaluation
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📌 Water Cooler Small Talk, Ep 8: Should ChatGPT Be Blocked at Work?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-08-19 | ⏱️ Read time: 9 min read

Water cooler small talk is a special kind of small talk, typically observed in office…
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📌 Can LangExtract Turn Messy Clinical Notes into Structured Data?

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-18 | ⏱️ Read time: 7 min read

Turning raw clinical notes into structured entities with LLMs.
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📌 Modular Arithmetic in Data Science

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-18 | ⏱️ Read time: 10 min read

Modular arithmetic is a mathematical system where numbers cycle back to the beginning after reaching…
📌 Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-06 | ⏱️ Read time: 10 min read

A guide to building modular workflows for structured intelligence
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📌 Maximizing AI/ML Model Performance with PyTorch Compilation

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-08-18 | ⏱️ Read time: 31 min read

Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of…
📌 How to Correctly Apply Limits on the Result in DAX (and SQL)

🗂 Category: DATA SCIENCE

🕒 Date: 2025-08-18 | ⏱️ Read time: 8 min read

What if the output of a measure mustn’t be above a specific limit? How can…
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📌 How to Create Powerful LLM Applications with Context Engineering

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-18 | ⏱️ Read time: 7 min read

Improve your LLM by optimizing its context
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📌 LangGraph 101: Let’s Build A Deep Research Agent

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-08-14 | ⏱️ Read time: 32 min read

Learn LangGraph fundamentals from Google’s open-source full-stack implementation
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📌 What Does “Following Best Practices” Mean in the Age of AI?

🗂 Category: THE VARIABLE

🕒 Date: 2025-08-14 | ⏱️ Read time: 3 min read

How data and ML practitioners should navigate a rapidly changing landscape
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📌 “My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2025-08-14 | ⏱️ Read time: 8 min read

Claudia Ng reflects on real-world ML lessons, mentoring newcomers, and her journey from corporate ML…