Machine Learning – Telegram
Machine Learning
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32 videos
42 files
1.31K 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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📌 Practical Introduction to Polars

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-10 | ⏱️ Read time: 13 min read

Hands-on guide with side-by-side examples in Pandas
📌 The Art of Asking Questions for Engineers

🗂 Category: BUSINESS

🕒 Date: 2024-09-10 | ⏱️ Read time: 6 min read

A Guideline for Asking Impactful Questions
📌 Key Insights for Teaching AI Agents to Remember

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-10 | ⏱️ Read time: 20 min read

Recommendations on building robust memory capabilities based on experimentation with Autogen’s “Teachable Agents”
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📌 Introducing NumPy, Part 3: Manipulating Arrays

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read

Shaping, transposing, joining, and splitting arrays
📌 Build a Data Dashboard Using HTML, CSS, and JavaScript

🗂 Category: PROGRAMMING

🕒 Date: 2025-10-03 | ⏱️ Read time: 14 min read

A framework-free guide for Python programmers
📌 MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant

🗂 Category: DEEP LEARNING

🕒 Date: 2025-10-03 | ⏱️ Read time: 28 min read

Understanding and implementing MobileNetV2 with PyTorch  — the next generation of MobileNetV1
📌 Is Multi-Collinearity Destroying Your Causal Inferences In Marketing Mix Modelling?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-10 | ⏱️ Read time: 18 min read

Causal AI, exploring the integration of causal reasoning into machine learning
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📌 Does Semi-Supervised Learning Help to Train Better Models?

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-09 | ⏱️ Read time: 8 min read

Evaluating how semi-supervised learning can leverage unlabeled data
📌 Benchmarking Hallucination Detection Methods in RAG

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-09-09 | ⏱️ Read time: 11 min read

Evaluating methods to enhance reliability in LLM-generated responses.
📌 Automate Video Chaptering with LLMs and TF-IDF

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-09-09 | ⏱️ Read time: 14 min read

Transform raw trannoscripts into well-structured documents
📌 Are We Alone?

🗂 Category: SCIENCE AND TECHNOLOGY

🕒 Date: 2024-09-08 | ⏱️ Read time: 12 min read

The Real Odds of Encountering Alien Life (Part 5 of the Drake Equation Series)
📌 Galactic Distances

🗂 Category:

🕒 Date: 2024-09-08 | ⏱️ Read time: 18 min read

How Far Are We from Alien Civilizations? (Part 4 of the Drake Equation Series)
📌 Python QuickStart for People Learning AI

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read

A beginner-friendly guide
📌 Intuitive Explanation of Async / Await in JavaScript

🗂 Category: JAVASCRIPT

🕒 Date: 2024-09-08 | ⏱️ Read time: 11 min read

Designing asynchronous pipelines for efficient data processing
📌 Communicating with the Cosmos

🗂 Category:

🕒 Date: 2024-09-08 | ⏱️ Read time: 15 min read

Estimating Alien Civilizations (Part 3 of the Drake Equation Series)
📌 Understanding Einstein’s Notation and einsum Multiplication

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-08 | ⏱️ Read time: 5 min read

Perform higher-order tensor operations with string notation
📌 How I Solved LinkedIn Queens Game Using Backtracking

🗂 Category:

🕒 Date: 2024-09-07 | ⏱️ Read time: 11 min read

Using OpenCV to auto-detect puzzle and redraw the final answer
📌 From Stars to Life

🗂 Category:

🕒 Date: 2024-09-07 | ⏱️ Read time: 12 min read

A Data-Driven Journey (Part 2 of the Drake Equation Series)
📌 Calculating Contact

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-07 | ⏱️ Read time: 8 min read

A Data-Driven Look at Alien Civilizations (Part 1 of the Drake Equation Series)
📌 The Price of Gold: Is Olympic Success Reserved for the Wealthy?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-07 | ⏱️ Read time: 15 min read

Analyzing 30 years of Olympic Games medals distribution and national wealth indicators