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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📌 Semantic Search Engine for Emojis in 50+ Languages Using AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-17 | ⏱️ Read time: 14 min read

If you are on social media like Twitter or LinkedIn, you have probably noticed that…
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🤖🧠 Cognee: Powerful Memory for AI Agents in Just 6 Lines of Code

🗓️ 07 Oct 2025
📚 AI News & Trends

Artificial Intelligence is evolving rapidly, but one of the biggest challenges for developers is building agents that remember, reason and adapt. Traditional RAG (Retrieval-Augmented Generation) systems often fall short when handling context, scalability and precision. That’s where Cognee comes in. It is an open-source framework designed to provide AI agents with memory using a unique ...

#AI #Memory #AIAgents #OpenSource #RAG #ArtificialIntelligence
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📌 BlazeFace: How to Run Real-time Object Detection in the Browser

🗂 Category: JAVASCRIPT

🕒 Date: 2024-07-17 | ⏱️ Read time: 14 min read

A step-by-step guide to training a BlazeFace model, from the Python training pipeline to the…
📌 Validations in Pydantic V2

🗂 Category:

🕒 Date: 2024-07-17 | ⏱️ Read time: 9 min read

Validating with Field, Annotated, field validator, and model validator
🤖🧠 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 ...

#AI #MachineLearning #MultiAgentSystems #ArtificialIntelligence #HighPerformance #ROMA
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📌 Data Curation Practices to Minimize Bias in Medical AI

🗂 Category:

🕒 Date: 2024-07-17 | ⏱️ Read time: 9 min read

Ensuring fair and equitable healthcare outcomes from medical AI applications
🤖🧠 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 #PortraitPhotography #AIart #BoysFashion #2025Trends
📌 How to Succeed as a Machine Learning Engineer in the Industry

🗂 Category: CAREER ADVICE

🕒 Date: 2024-07-17 | ⏱️ Read time: 6 min read

5 tips that helped me consistently exceed expectations in BigTech
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📌 Judge an LLM Judge: A Dual-Layer Evaluation Framework for Continuous Improvement of LLM Evaluation

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-07-17 | ⏱️ Read time: 13 min read

Can “the evaluation of an LLM application by an LLM judge” be audited by another…
📌 Exploring the Latest Advances in Foundation Time-series Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-17 | ⏱️ Read time: 9 min read

Fast and accurate forecasting of new data – without training
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🤖🧠 DeepEval: The Ultimate LLM Evaluation Framework for AI Developers

🗓️ 07 Oct 2025
📚 AI News & Trends

In today’s AI-driven world, large language models (LLMs) have become central to modern applications from chatbots to intelligent AI agents. However, ensuring the accuracy, reliability and safety of these models is a significant challenge. Even small errors, biases or hallucinations can result in misleading information, frustrated users or business setbacks. This is where DeepEval, an ...

#DeepEval #LLM #AIDevelopment #LanguageModels #ModelEvaluation #ArtificialIntelligence
📌 Exploring the Right Fit: Choosing Primary Keys for Your Database

🗂 Category: DATABASE DESIGN

🕒 Date: 2024-07-16 | ⏱️ Read time: 27 min read

A practical example of navigating key selection trade-offs in a real-world scenario
📌 Visualizing and Integrating Complex Ideas with LLMs, Part 1: Napkin AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-16 | ⏱️ Read time: 4 min read

Discover how AI tools can transform intricate concepts into clear, practical frameworks and diagrams
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📌 MOE & MOA for Large Language Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-16 | ⏱️ Read time: 4 min read

Seeking Advice from a Panel of Specialists
📌 Pitching (AI) Innovation in Your Company

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-16 | ⏱️ Read time: 7 min read

Key steps to kick off an AI journey in your current job
🤖🧠 The Little Book of Deep Learning – A Complete Summary and Chapter-Wise Overview

🗓️ 08 Oct 2025
📚 AI News & Trends

In the ever-evolving world of Artificial Intelligence, deep learning continues to be the driving force behind breakthroughs in computer vision, speech recognition and natural language processing. For those seeking a clear, structured and accessible guide to understanding how deep learning really works, “The Little Book of Deep Learning” by François Fleuret is a gem. This ...

#DeepLearning #ArtificialIntelligence #MachineLearning #NeuralNetworks #AIGuides # FrancoisFleuret
📌 PyTorch Tabular: A Review

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-07-16 | ⏱️ Read time: 8 min read

An overview for getting up and running quickly, while avoiding confusion
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📌 The Math Behind Multi-Head Attention in Transformers

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-16 | ⏱️ Read time: 18 min read

Deep Dive into Multi-Head Attention, the secret element in Transformers and LLMs. Let’s explore its…
📌 The Ultimate Guide to Finding Outliers in Your Time-Series Data (Part 3)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-16 | ⏱️ Read time: 17 min read

Outliers Found: Now What? A Guide to Treatment Options
📌 The Ultimate Guide to Finding Outliers in Your Time-Series Data (Part 3)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-16 | ⏱️ Read time: 1 min read

Outliers Found: Now What? A Guide to Treatment Options
🤖🧠 Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs

🗓️ 08 Oct 2025
📚 AI News & Trends

In recent years, Large Language Models (LLMs) have revolutionized the world of Artificial Intelligence (AI). From ChatGPT and Claude to Llama and Mistral, these models power the conversational systems, copilots, and generative tools that dominate today’s AI landscape. However, for most developers and learners, the inner workings of these systems remain a mystery until now. ...

#LargeLanguageModels #LLM #ArtificialIntelligence #DeepLearning #MachineLearning #AIGuides