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 Boost 2-Bit LLM Accuracy with EoRA

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-05-15 | ⏱️ Read time: 9 min read

A training-free solution for extreme LLM compression.
πŸ“Œ The Geospatial Capabilities of Microsoft Fabric and ESRI GeoAnalytics, Demonstrated

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2025-05-15 | ⏱️ Read time: 8 min read

A step closer to spatial AI with geospatial processing with Fabric
πŸ“Œ Strength in Numbers: Ensembling Models with Bagging and Boosting

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-15 | ⏱️ Read time: 16 min read

Mastering the fundamentals of bagging and boosting with simple examples
πŸ“Œ Efficient Graph Storage for Entity Resolution Using Clique-Based Compression

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-14 | ⏱️ Read time: 7 min read

Entity resolution systems face challenges with dense, interconnected graphs, and clique-based graph compression offers an…
πŸ“Œ Parquet File Format – Everything You Need to Know!

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2025-05-14 | ⏱️ Read time: 9 min read

New data flavors require new ways for storing it! Learn everything you need to know…
πŸ“Œ Survival Analysis When No One Dies: A Value-Based Approach

πŸ—‚ Category: STATISTICS

πŸ•’ Date: 2025-05-13 | ⏱️ Read time: 11 min read

A generalized version of Kaplan-Meier allows to model a continuous value (like money) instead of…
πŸ“Œ Get Started with Rust: Installation and Your First CLI Tool – A Beginner’s Guide

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-05-13 | ⏱️ Read time: 8 min read

From setup to your first command line application β€” step by step
πŸ“Œ Non-Parametric Density Estimation: Theory and Applications

πŸ—‚ Category: STATISTICS

πŸ•’ Date: 2025-05-13 | ⏱️ Read time: 26 min read

A theoretical and practical introduction to non-parametric density estimation.
πŸ“Œ Rethinking the Environmental Costs of Training AI β€” Why We Should Look Beyond Hardware

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-13 | ⏱️ Read time: 19 min read

A statistical analysis of what drives energy, water, and carbon consumption in AI training —…
πŸ“Œ TDS Authors Can Now Receive Payments Via Stripe

πŸ—‚ Category: WRITING

πŸ•’ Date: 2025-05-13 | ⏱️ Read time: 2 min read

The Author Payment Program just became a lot more streamlined
πŸ“Œ Empowering LLMs to Think Deeper by Erasing Thoughts

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-05-12 | ⏱️ Read time: 11 min read

Introduction Recent large language models (LLMs) β€” such as OpenAI’s o1/o3, DeepSeek’s R1 and Anthropic’s…
πŸ“Œ How I Finally Understood MCPβ€Šβ€”β€Šand Got It Working in Real Life

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-05-12 | ⏱️ Read time: 28 min read

The guide I needed when I had no idea why anyone would build an MCP…
πŸ“Œ The Westworld Blunder

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-12 | ⏱️ Read time: 16 min read

Giving artificial minds the appearance of suffering without the awareness that it’s just a performance…
πŸ“Œ Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-05-12 | ⏱️ Read time: 7 min read

Build trust into your machine learning pipelines by inserting fast, secure human checks.
πŸ“Œ Running Python Programs in Your Browser

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-05-12 | ⏱️ Read time: 17 min read

Using Pyodide and Webassembly
πŸ“Œ Will You Spot the Leaks? A Data Science Challenge

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-12 | ⏱️ Read time: 8 min read

When models fly too high: A perilous journey through data leakage
πŸ“Œ The Art of the Phillips Curve

πŸ—‚ Category: ECONOMICS

πŸ•’ Date: 2025-05-12 | ⏱️ Read time: 17 min read

The subjective details holding together one of economics’ favourite models
πŸ“Œ What My GPT Stylist Taught Me About Prompting Better

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-05-09 | ⏱️ Read time: 14 min read

Inside the Strange Behavior of LLMs
πŸ“Œ Log Link vs Log Transformation in R β€” The Difference that Misleads Your Entire Data Analysis

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-09 | ⏱️ Read time: 9 min read

Although normal distributions are the most commonly used, a lot of real-world data unfortunately is…
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πŸ“Œ A Review of AccentFold: One of the Most Important Papers on African ASR

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-09 | ⏱️ Read time: 12 min read

AccentFold tackles a specific issue many of us can relate to: current ASR systems just…