Machine Learning – Telegram
Machine Learning
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4.01K photos
36 videos
47 files
1.34K links
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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📌 I Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python)

🗂 Category: COMPUTER VISION

🕒 Date: 2026-01-28 | ⏱️ Read time: 9 min read

A step-by-step guide to building a “Minority Report”-style interface using OpenCV and MediaPipe

#DataScience #AI #Python
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📌 Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-28 | ⏱️ Read time: 12 min read

Estimating neighborhood-level pedestrian risk from real-world incident data

#DataScience #AI #Python
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📌 Federated Learning, Part 2: Implementation with the Flower Framework

🗂 Category: FEDERATED LEARNING

🕒 Date: 2026-01-28 | ⏱️ Read time: 11 min read

Implementing cross-silo federated learning step by step

#DataScience #AI #Python
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📌 Machine Learning in Production? What This Really Means

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-28 | ⏱️ Read time: 10 min read

From notebooks to real-world systems

#DataScience #AI #Python
📌 Optimizing Vector Search: Why You Should Flatten Structured Data

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-29 | ⏱️ Read time: 7 min read

An analysis of how flattening structured data can boost precision and recall by up to 20%

#DataScience #AI #Python
📌 RoPE, Clearly Explained

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-29 | ⏱️ Read time: 8 min read

Going beyond the math to build intuition

#DataScience #AI #Python
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📌 The Unbearable Lightness of Coding

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-01-29 | ⏱️ Read time: 9 min read

Confessions of a vibe coder

#DataScience #AI #Python
📌 Randomization Works in Experiments, Even Without Balance

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-29 | ⏱️ Read time: 10 min read

Randomization usually balances confounders in experiments, but what happens when it doesn’t?

#DataScience #AI #Python
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📌 Creating an Etch A Sketch App Using Python and Turtle

🗂 Category: PROGRAMMING

🕒 Date: 2026-01-30 | ⏱️ Read time: 7 min read

A beginner-friendly Python tutorial

#DataScience #AI #Python
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📌 Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the “Bag of Agents”

🗂 Category: AGENTIC AI

🕒 Date: 2026-01-30 | ⏱️ Read time: 27 min read

Hard-won lessons on how to scale agentic systems without scaling the chaos, including a taxonomy…

#DataScience #AI #Python
📌 On the Possibility of Small Networks for Physics-Informed Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-30 | ⏱️ Read time: 20 min read

A new kind of hyperparameter study

#DataScience #AI #Python
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📌 Multi-Attribute Decision Matrices, Done Right

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-30 | ⏱️ Read time: 7 min read

How to structure decisions, identify efficient options, and avoid misleading value metrics

#DataScience #AI #Python