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 How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-29 | ⏱️ Read time: 9 min read

From VOC to JSON: Importing pre-annotations made simple
πŸ“Œ Implementing the Hangman Game in Python

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-08-28 | ⏱️ Read time: 11 min read

A beginner-friendly project to understand variables, loops, and conditions in Python
πŸ“Œ Stepwise Selection Made Simple: Improve Your Regression Models in Python

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-28 | ⏱️ Read time: 21 min read

Dimensionality reduction in linear regression: classical stepwise methods and a Python application on real-world data
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πŸ“Œ Graph Coloring for Data Science: A Comprehensive Guide

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-28 | ⏱️ Read time: 11 min read

From theoretical puzzles to practical applications
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πŸ“Œ A Visual Guide to Tuning Decision-Tree Hyperparameters

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-28 | ⏱️ Read time: 11 min read

How hyperparameter tuning visually changes decision trees
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πŸ“Œ August Must-Reads: LLM Costs, Research Agents, and More

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-08-28 | ⏱️ Read time: 2 min read

Our most-read and -shared stories of the past month
πŸ“Œ Air for Tomorrow: Why Openness in Air Quality Research and Implementation Matters for Global Equity

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-27 | ⏱️ Read time: 10 min read

Understand how open source can help you unravel air quality
πŸ“Œ Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-27 | ⏱️ Read time: 6 min read

Explore how Agentic AI is reshaping the tech careers, from data to decision-making, and how…
πŸ“Œ Everything I Studied to Become a Machine Learning Engineer (No CS Background)

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-27 | ⏱️ Read time: 9 min read

The books, courses, and resources I used in my journey.
πŸ“Œ Time Series Forecasting Made Simple (Part 4.1): Understanding Stationarity in a Time Series

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-27 | ⏱️ Read time: 11 min read

An intuitive guide to stationarity in a time series
πŸ“Œ A Brief History of GPT Through Papers

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-27 | ⏱️ Read time: 16 min read

Language models are becoming really good. But where did they come from?
πŸ“Œ The Math You Need to Pan and Tilt 360Β° Images

πŸ—‚ Category: MATH

πŸ•’ Date: 2025-08-27 | ⏱️ Read time: 12 min read

Panning a spherical image is just a horizontal roll, but tilting it vertically is much…
πŸ“Œ How to Develop Powerful Internal LLM Benchmarks

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-26 | ⏱️ Read time: 7 min read

Learn how to compare LLMs using your own interal benchmark
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πŸ“Œ Plato’s Cave and the Shadows of Data

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-26 | ⏱️ Read time: 4 min read

On truth, illusion, and the limits of what data can reveal
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πŸ“Œ Using Google’s LangExtract and Gemma for Structured Data Extraction

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-26 | ⏱️ Read time: 9 min read

Extracting structured information effectively and accurately from long unstructured text with LangExtract and LLMs
πŸ“Œ Google’s URL Context Grounding: Another Nail in RAG’s Coffin?

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-26 | ⏱️ Read time: 13 min read

Google’s hot streak in AI-related releases continues unabated. Just a few days ago, it released…
πŸ“Œ LLM Monitoring and Observability: Hands-on with Langfuse

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-25 | ⏱️ Read time: 22 min read

Learn the fundamentals of LLM monitoring and observability, from tracing to evaluation and setting up…
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πŸ“Œ Why Your Prompts Don’t Belong in Git

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-25 | ⏱️ Read time: 5 min read

The hidden cost of storing prompts in your source code
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πŸ“Œ How to Benchmark Classical Machine Learning Workloads on Google Cloud

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-25 | ⏱️ Read time: 8 min read

Harnessing CPUs for Practical, Cost-Effective Machine Learning
πŸ“Œ Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-25 | ⏱️ Read time: 24 min read

An Open Letter to the Scientific Community