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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πŸ“Œ Why Human-Centered Data Analytics Matters More Than Ever

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-14 | ⏱️ Read time: 8 min read

From optimizing metrics to designing meaning: putting people back into data-driven decisions

#DataScience #AI #Python
πŸ“Œ What Is a Knowledge Graph β€” and Why It Matters

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-14 | ⏱️ Read time: 18 min read

How structured knowledge became healthcare’s quiet advantage

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πŸ“Œ Glitches in the Attention Matrix

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2026-01-14 | ⏱️ Read time: 13 min read

A history of Transformer artifacts and the latest research on how to fix them

#DataScience #AI #Python
πŸ“Œ Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-14 | ⏱️ Read time: 15 min read

Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh parts…

#DataScience #AI #Python
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πŸ“Œ When Shapley Values Break: A Guide to Robust Model Explainability

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2026-01-15 | ⏱️ Read time: 9 min read

Shapley Values are one of the most common methods for explainability, yet they can be…

#DataScience #AI #Python
πŸ“Œ How to Run Coding Agents in Parallel

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2026-01-15 | ⏱️ Read time: 8 min read

Get the most out of Claude Code

#DataScience #AI #Python
πŸ“Œ The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon

πŸ—‚ Category: PRODUCTIVITY

πŸ•’ Date: 2026-01-15 | ⏱️ Read time: 8 min read

Designing a centralized system to track daily habits and long-term goals

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πŸ“Œ Do You Smell That? Hidden Technical Debt in AI Development

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2026-01-15 | ⏱️ Read time: 14 min read

Why speed without standards creates fragile AI products

#DataScience #AI #Python
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πŸ“Œ Maximum-Effiency Coding Setup

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2026-01-16 | ⏱️ Read time: 9 min read

Learn how to be a more efficient programmer

#DataScience #AI #Python
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πŸ“Œ Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-16 | ⏱️ Read time: 18 min read

Why your final LLM layer is OOMing and how to fix it with a custom…

#DataScience #AI #Python
πŸ“Œ From RGB to Lab: Addressing Color Artifacts in AI Image Compositing

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2026-01-16 | ⏱️ Read time: 13 min read

A multi-tier approach to segmentation, color correction, and domain-specific enhancement

#DataScience #AI #Python