Data Science Machine Learning Data Analysis
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This channel is for Programmers, Coders, Software Engineers.

1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning

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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…
πŸ“Œ Time Series Forecasting Made Simple (Part 2): Customizing Baseline Models

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-09 | ⏱️ Read time: 18 min read

From simple averages to blended strategies, this part builds a foundation for better forecasting models.
πŸ“Œ How Not to Write an MCP Server

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-05-09 | ⏱️ Read time: 13 min read

Five hard lessons learned from my first attempt at leveraging the new MCP technology, a…
πŸ“Œ Clustering Eating Behaviors in Time: A Machine Learning Approach to Preventive Health

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-05-08 | ⏱️ Read time: 18 min read

How understanding the timing of meals using machine learning can support preventive healthcare
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πŸ“Œ Model Compression: Make Your Machine Learning Models Lighter and Faster

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-05-08 | ⏱️ Read time: 13 min read

A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks…
πŸ“Œ ACP: The Internet Protocol for AI Agents

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-08 | ⏱️ Read time: 9 min read

ACP aims to be the β€œHTTP of agent communication,” transforming our current landscape of siloed…
πŸ“Œ The Dangers of Deceptive Data Part 2–Base Proportions and Bad Statistics

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2025-05-08 | ⏱️ Read time: 7 min read

An accessible dive into correlation, base proportions, summary statistics, and uncertainty.
πŸ“Œ The Shadow Side of AutoML: When No-Code Tools Hurt More Than Help

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-05-08 | ⏱️ Read time: 7 min read

Abstraction is nothing new in software, but in machine learning, abstraction without oversight turns automation…
πŸ“Œ Pharmacy Placement in Urban Spain

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-08 | ⏱️ Read time: 22 min read

Identify spatial gaps in the urban pharmacy network suitable for the installation of new pharmacies,…
πŸ“Œ Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-08 | ⏱️ Read time: 10 min read

Automate Excel Documentation with AI: Leveraging OpenPyxl and Generative AI to create data dictionaries. Learn…
πŸ“Œ Real-Time Interactive Sentiment Analysis in Python

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2025-05-07 | ⏱️ Read time: 8 min read

How to visualize sentiment using a procedural smiley face in Python with OpenCV and Tkinter
πŸ“Œ Uh-Uh, Not Guilty

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-07 | ⏱️ Read time: 7 min read

Who will take the blame for AI mistakes, and what can you do about it?