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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📌 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
📌 How to Manipulate the Total in Power BI

🗂 Category:

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

In most cases, the total aggregates the detail rows in a visual. But what if…
📌 The LLM Triangle Principles to Architect Reliable AI Apps

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-16 | ⏱️ Read time: 19 min read

Software design principles for thoughtfully designing reliable, high-performing LLM applications
📌 Hacking “Codenames” with GloVe Embeddings

🗂 Category: NATURAL LANGUAGE PROCESSING

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

Using a GloVe embedding-based algorithm to achieve 100% accuracy on the popular party game “Codenames”
📌 Topic Modeling Open-Source Research with the OpenAlex API

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-15 | ⏱️ Read time: 10 min read

An overview of topic modeling global research through the OpenAlex API and visualizing results
🤖🧠 OpenAI’s AgentKit: Transforming How Developers Build and Deploy AI Agents

🗓️ 08 Oct 2025
📚 AI News & Trends

OpenAI continues to redefine the frontiers of artificial intelligence with the introduction of AgentKit a powerful all-in-one toolkit designed to simplify and accelerate how developers build and deploy AI agents. Unveiled during OpenAI’s Dev Day on October 6, 2025, AgentKit marks a transformative leap in agentic AI technology giving developers and organizations the ability to ...

#OpenAI #AgentKit #AIAgents #ArtificialIntelligence #DeveloperTools #AIInnovation
📌 PyEnv & Poetry Tutorial: Ultimate Data Science Setup

🗂 Category: CODING

🕒 Date: 2024-07-15 | ⏱️ Read time: 8 min read

How to use PyEnv and Poetry together for your environment and package management for data…
📌 PySpark Explained: User-Defined Functions

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-07-15 | ⏱️ Read time: 10 min read

What are they, and how do you use them?
📌 VerifAI Project: Open Source Biomedical Question Answering with Verified Answers

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-07-15 | ⏱️ Read time: 14 min read

Experiences from building LLM-based (Mistral 7B) biomedical question-answering system with hallucination detection method
📌 Your 15-Minute Guide on Using Causal Inference in Business (with Placebo Tests)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-15 | ⏱️ Read time: 22 min read

“Correlation does not mean causation.” So let’s calculate causation.
🤖🧠 Ling-1T by inclusionAI: The Future of Smarter, Faster and More Efficient AI Models

🗓️ 09 Oct 2025
📚 AI News & Trends

Artificial Intelligence is evolving at lightning speed and inclusionAI’s Ling-1T is one of the most exciting innovations leading the charge. Built on the advanced Ling 2.0 architecture, Ling-1T is a trillion-parameter model designed to combine incredible reasoning power, speed and scalability in one open-source system. Image Source : Hugging Face Unlike many AI models that ...

#Ling1T #inclusionAI #ArtificialIntelligence #OpenSourceAI #LargeLanguageModels #AIArchitecture
📌 A Sanity Check on ‘Emergent Properties’ in Large Language Models

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-15 | ⏱️ Read time: 14 min read

LLMs are often said to have ’emergent properties’. But what do we even mean by…