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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📌 Reducing Time to Value for Data Science Projects: Part 3

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-10 | ⏱️ Read time: 14 min read

Setting up a robust experimentation process
📌 Scene Understanding in Action: Real-World Validation of Multimodal AI Integration

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-07-10 | ⏱️ Read time: 13 min read

A deep dive into real-world case studies: from indoor space and urban streets to world-famous…
📌 Evaluation-Driven Development for LLM-Powered Products: Lessons from Building in Healthcare

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-10 | ⏱️ Read time: 30 min read

How metrics and monitoring combine with human expertise to build trustworthy AI in healthcare.
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📌 Worried About AI? Use It to Your Advantage

🗂 Category: THE VARIABLE

🕒 Date: 2025-07-10 | ⏱️ Read time: 3 min read

This week, we focus on the future of data science and the opportunities that can…
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📌 The Crucial Role of NUMA Awareness in High-Performance Deep Learning

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-07-10 | ⏱️ Read time: 16 min read

PyTorch model performance analysis and optimization — Part 10
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📌 Work Data Is the Next Frontier for GenAI

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-09 | ⏱️ Read time: 17 min read

9 reasons why work data is the single most valuable data source for LLM training,…
📌 Recap of all types of LLM Agents

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-09 | ⏱️ Read time: 6 min read

Regular, ReAct, Chain-of-Thought, Reflexion, ToT, GoT, PoT
📌 AI Agents Are Shaping the Future of Work Task by Task, Not Job by Job

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-07-09 | ⏱️ Read time: 12 min read

What two groundbreaking studies reveal about the future of human-AI collaboration, and the enterprise playbook…
📌 How to Perform Effective Data Cleaning for Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-07-09 | ⏱️ Read time: 11 min read

Learn how you can improve your machine learning models using effective data cleaning
📌 Time Series Forecasting Made Simple (Part 3.1): STL Decomposition

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-09 | ⏱️ Read time: 24 min read

STL Decomposition excels when seasonal patterns evolve over time.
📌 How to Fine-Tune Small Language Models to Think with Reinforcement Learning

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-07-08 | ⏱️ Read time: 23 min read

A visual tour and from-scratch guide to train GRPO reasoning models in PyTorch
📌 What I Learned in my First 18 Months as a Freelance Data Scientist

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-08 | ⏱️ Read time: 13 min read

The taxes and health insurance edition
📌 Build Interactive Machine Learning Apps with Gradio

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-07-08 | ⏱️ Read time: 7 min read

Create a fun text-to-speech demo in minutes
📌 Microsoft’s Revolutionary Diagnostic Medical AI, Explained

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-07-08 | ⏱️ Read time: 12 min read

Microsoft’s latest paper discusses a path to medical superintelligence. How close are we, really?
📌 Run Your Python Code up to 80x Faster Using the Cython Library

🗂 Category: PROGRAMMING

🕒 Date: 2025-07-08 | ⏱️ Read time: 13 min read

A four-step plan for C language speed where it matters most
📌 The Five-Second Fingerprint: Inside Shazam’s Instant Song ID

🗂 Category: DATA SCIENCE

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

How Shazam recognizes songs in seconds
📌 Your Personal Analytics Toolbox

🗂 Category: ARTIFICIAL INTELLIGENCE

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

Leveraging MCP for automating your daily routine
📌 POSET Representations in Python Can Have a Huge Impact on Business

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-07 | ⏱️ Read time: 14 min read

Discover how POSET indicators transform data into coherent scoring systems, enabling meaningful comparisons while preserving…
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📌 Build Algorithm-Agnostic ML Pipelines in a Breeze

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-07-07 | ⏱️ Read time: 20 min read

The framework is now an open-source Python package for streamlined ML workflows
📌 Where Are We with Shor’s Algorithm?

🗂 Category: PROGRAMMING

🕒 Date: 2025-07-07 | ⏱️ Read time: 28 min read

A deep dive into the implementation of Shor’s algorithm and an analysis of quantum runs…
📌 Liberating Performance with Immutable DataFrames in Free-Threaded Python

🗂 Category: DATA SCIENCE

🕒 Date: 2025-07-07 | ⏱️ Read time: 7 min read

How StaticFrame and Python 3.13t enable true thread-based concurrency