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 How to Optimize Your AI Coding Agent Context

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2026-01-06 | ⏱️ Read time: 7 min read

Make your coding agents more efficient

#DataScience #AI #Python
πŸ“Œ GliNER2: Extracting Structured Information from Text

πŸ—‚ Category: NATURAL LANGUAGE PROCESSING

πŸ•’ Date: 2026-01-06 | ⏱️ Read time: 11 min read

From unstructured text to structured Knowledge Graphs

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πŸ“Œ Feature Detection, Part 3: Harris Corner Detection

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-05 | ⏱️ Read time: 7 min read

Finding the most informative points in images

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πŸ“Œ Measuring What Matters with NeMo Agent Toolkit

πŸ—‚ Category: LLM APPLICATIONS

πŸ•’ Date: 2026-01-06 | ⏱️ Read time: 13 min read

A practical guide to observability, evaluations, and model comparisons

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πŸ“Œ The Best Data Scientists Are Always Learning

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-06 | ⏱️ Read time: 10 min read

Part 2: Avoiding burnout, learning strategies and the superpower of solitude

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πŸ“Œ HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-07 | ⏱️ Read time: 18 min read

How approximate vector search silently degrades Recallβ€”and what to do about It

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πŸ“Œ I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-07 | ⏱️ Read time: 12 min read

Why privacy breaks fairness at small scaleβ€”and how collaboration fixes both without sharing a single…

#DataScience #AI #Python
πŸ“Œ Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-07 | ⏱️ Read time: 21 min read

Human-guided AI collaboration

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πŸ“Œ Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-07 | ⏱️ Read time: 13 min read

My take after 10 years in Supply Chain on why this can be an excellent…

#DataScience #AI #Python
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πŸ“Œ Beyond Prompting: The Power of Context Engineering

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2026-01-08 | ⏱️ Read time: 60 min read

Using ACE to create self-improving LLM workflows and structured playbooks

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πŸ“Œ Retrieval for Time-Series: How Looking Back Improves Forecasts

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-08 | ⏱️ Read time: 13 min read

Why Retrieval Helps in Time Series Forecasting We all know how it goes: Time-series data…

#DataScience #AI #Python
πŸ“Œ How to Improve the Performance of Visual Anomaly Detection Models

πŸ—‚ Category: COMPUTER VISION

πŸ•’ Date: 2026-01-08 | ⏱️ Read time: 6 min read

Apply the best methods from academia to get the most out of practical applications

#DataScience #AI #Python
πŸ“Œ Faster Is Not Always Better: Choosing the Right PostgreSQL Insert Strategy in Python (+Benchmarks)

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2026-01-08 | ⏱️ Read time: 6 min read

PostgreSQL is fast. Whether your Python code can or should keep up depends on context.…

#DataScience #AI #Python
πŸ“Œ Data Science Spotlight: Selected Problems from Advent of Code 2025

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-09 | ⏱️ Read time: 19 min read

Hands-on walkthroughs of problems and solution approaches that power real‑world data science use cases

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πŸ“Œ Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransformer

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-09 | ⏱️ Read time: 7 min read

Forget stiff lines and wild polynomials. Discover why Splines are the β€œGoldilocks” of feature engineering,…

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πŸ“Œ Teaching a Neural Network the Mandelbrot Set

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-09 | ⏱️ Read time: 10 min read

And why Fourier features change everything

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πŸ“Œ TDS Newsletter: December Must-Reads on GraphRAG, Data Contracts, and More

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2026-01-08 | ⏱️ Read time: 3 min read

Don’t miss our most popular articles of the previous month

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πŸ“Œ Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-10 | ⏱️ Read time: 11 min read

A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons…

#DataScience #AI #Python