Machine Learning – Telegram
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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🤖🧠 How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs

🗓️ 11 Oct 2025
📚 AI News & Trends

Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ...

#oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization
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📌 Deliver Your Data as a Product, But Not as an Application

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-07-12 | ⏱️ Read time: 11 min read

Data as a product is an intriguing concept, but beware of the application trap
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📌 Predictive Marketing Mix Modeling with GLOP: The Perfect Cocktail Shaker

🗂 Category: MACHINE LEARNING

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

Maximizing profit using ML and GLOP (by Google) in the digital landscape
📌 Multi-Headed Self Attention – By Hand

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-12 | ⏱️ Read time: 5 min read

Hand computing the cornerstone of modern AI.
📌 A Practical Framework for Search Evaluation

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-12 | ⏱️ Read time: 15 min read

A Data-Driven Approach to Elevating User Experience and Business Performance with Search
🤖🧠 ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes

🗓️ 11 Oct 2025
📚 AI News & Trends

Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMA’s architecture, technical capabilities, practical ...

#ROMA #AIFramework #MultiAgentSystems #ArtificialIntelligence #HighPerformanceAI #AgentBasedAI
📌 Gower’s Distance for Mixed Categorical and Numerical Data

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-12 | ⏱️ Read time: 8 min read

A distance measure for mixed data that can be used for clustering
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📌 EDA for Word Embeddings

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-12 | ⏱️ Read time: 16 min read

Data scientists use EDA for everything. Why not word embeddings?
📌 t-Test : From Application to Theory

🗂 Category: MATHEMATICS

🕒 Date: 2024-07-12 | ⏱️ Read time: 6 min read

An overview of the statistical tools, the motivation behind using these tools, and an explanation…
📌 Running Local LLMs is More Useful and Easier Than You Think

🗂 Category:

🕒 Date: 2024-07-11 | ⏱️ Read time: 6 min read

A step-by-step guide to run Llama3 locally with Python
🤖🧠 15+ Gemini AI Photo Editing Prompts for Boys: Create Stunning Styles & Expressions in 2025

🗓️ 11 Oct 2025
📚 AI News & Trends

Are you looking to take your portraits to the next level? With Gemini AI Photo Editing Prompts, boys can now turn ordinary photos into ultra-realistic, cinematic or high-fashion images effortlessly. These prompts are specifically designed to work with uploaded images, allowing you to enhance your existing photos while keeping the subject intact. Whether you’re curating ...

#GeminiAI #PhotoEditing #AIPrompts #PortraitPhotography #AIImageGeneration #BoysFashion
📌 Make Metrics Matter

🗂 Category: BUSINESS

🕒 Date: 2024-07-11 | ⏱️ Read time: 13 min read

How data professionals can increase the impact of their strongest asset
📌 What’s New in Computer Vision and Object Detection?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-11 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
📌 How to Solve an Asset Storage Problem with Mathematical Programming

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-11 | ⏱️ Read time: 21 min read

Solving a two-dimensional assortment problem with Python and Gurobipy
📌 Prompt Engineering for Cognitive Flexibility

🗂 Category: CHATGPT

🕒 Date: 2024-07-11 | ⏱️ Read time: 10 min read

Practical insights and analysis from experiments with MMLU-Pro
📌 Towards Monosemanticity: A Step Towards Understanding Large Language Models

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-07-11 | ⏱️ Read time: 12 min read

Understanding the mechanistic interpretability research problem and reverse-engineering these large language models
📌 The Ultimate Handbook for LLM Quantization

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-10 | ⏱️ Read time: 17 min read

A deep dive into LLM quantization and techniques
📌 Step-by-Step Guide to Creating Simulated Data in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-10 | ⏱️ Read time: 7 min read

A beginner-friendly tutorial on generating your own data for analysis and testing
📌 A Bird’s-Eye View on the Evolution of Language Models for Text Generation

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-07-10 | ⏱️ Read time: 8 min read

In this article I would like to share my notes on how language models (LMs)…
📌 Python + Google Earth Engine

🗂 Category:

🕒 Date: 2024-07-10 | ⏱️ Read time: 24 min read

How to clean MapBiomas LULC rasters for any shapefile in Brazil
📌 Leveraging Python Pint Units Handler Package – Part 2

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-10 | ⏱️ Read time: 10 min read

Create your customized unit registry for physical quantities in Python