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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📌 Benchmarking LLM Inference Backends

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-17 | ⏱️ Read time: 12 min read

Comparing Llama 3 serving performance on vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and TGI
📌 Overcoming (Unintended) Data Jails

🗂 Category: ANALYTICS

🕒 Date: 2024-06-17 | ⏱️ Read time: 6 min read

We can do some amazing things with data if it were truly accessible and usable.…
📌 Cheating at Wordle? A Python and Streamlit-Based Solver

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-17 | ⏱️ Read time: 8 min read

A fun and educational approach to programmatically solving the popular game Wordle
📌 UEFA Euro 2024 Map

🗂 Category: DATA VISUALIZATION

🕒 Date: 2024-06-17 | ⏱️ Read time: 6 min read

Historical records of the UEFA European Championship results
📌 Spatial Index: Tessellation

🗂 Category: DATABASE DESIGN

🕒 Date: 2024-06-17 | ⏱️ Read time: 15 min read

Use of Tessellation for Spatial Indexing and how Uber H3 works
📌 Multi-Framework AI/ML Development with Keras 3

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-16 | ⏱️ Read time: 17 min read

All hail the return of Keras
📌 Multi AI Agent Systems 101

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-16 | ⏱️ Read time: 31 min read

Automating Routine Tasks in Data Source Management with CrewAI
📌 From English Literature to Data Science

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-16 | ⏱️ Read time: 6 min read

How did I land a job in data science
🤖🧠 MinerU2.5 by Shanghai AI Lab, Peking University & Shanghai Jiao Tong University Sets New Standard for AI-Powered Document Parsing

🗓️ 15 Oct 2025
📚 AI News & Trends

In the world of digital transformation, the ability to accurately extract and interpret information from complex documents is becoming increasingly essential. Whether for academic research, financial analysis or enterprise automation, document parsing – the process of converting structured and unstructured document data into machine-readable formats plays a vital role. Enter MinerU2.5, a groundbreaking vision-language model ...
📌 Using Power BI for Planning (Warehouse) with Stock Values

🗂 Category:

🕒 Date: 2024-06-18 | ⏱️ Read time: 11 min read

How can we use Power BI to plan for the future using Stock-Measures? Here, I…
📌 First Principles Thinking for Data Scientists

🗂 Category: DATA SCIENCE

🕒 Date: 2025-10-15 | ⏱️ Read time: 7 min read

The mindset that turns good data scientists into great ones
📌 Prompt Engineering for Time-Series Analysis with Large Language Models

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-10-15 | ⏱️ Read time: 9 min read

Part 1: Prompts for Core Strategies in Time-Series
📌 Beyond Requests: Why httpx is the Modern HTTP Client You Need (Sometimes)

🗂 Category: PROGRAMMING

🕒 Date: 2025-10-15 | ⏱️ Read time: 12 min read

A comprehensive comparison of these two Python libraries
📌 How to Build Tools for AI Agents

🗂 Category: AGENTIC AI

🕒 Date: 2025-10-15 | ⏱️ Read time: 10 min read

Learn how to design and build effective tools to be used by AI Agents
📌 Comprehensive Guide to Datasets and Dataloaders in PyTorch

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-15 | ⏱️ Read time: 6 min read

The full guide to creating custom datasets and dataloaders for different models in PyTorch
📌 Analyzing Unstructured PDF Data w/ Embedding Models and LLMs

🗂 Category:

🕒 Date: 2024-06-15 | ⏱️ Read time: 8 min read

How to turn PDFs into actionable insights
📌 Simple Model Retraining Automation via GitHub Actions

🗂 Category: EDUCATION

🕒 Date: 2024-06-15 | ⏱️ Read time: 13 min read

Easily streamline your modelling process with the GitHub Actions.
📌 Erasing Clouds from Satellite Imagery Using GANs (Generative Adversarial Networks)

🗂 Category: DEEP LEARNING

🕒 Date: 2024-06-15 | ⏱️ Read time: 12 min read

Building GANs from scratch in python
📌 GPT from Scratch with MLX

🗂 Category: DEEP LEARNING

🕒 Date: 2024-06-15 | ⏱️ Read time: 36 min read

Define and train GPT-2 on your MacBook
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📌 Graph Visualization: 7 Steps from Easy to Advanced

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-15 | ⏱️ Read time: 10 min read

Making visualization with Python, NetworkX, and D3.JS
📌 Gated Recurrent Units (GRU) – Improving RNNs

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-15 | ⏱️ Read time: 11 min read

Explaining how Gated Recurrent Neural Networks work