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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📌 TDS Newsletter: What You Need to Know About LLMs for Data Science

🗂 Category: THE VARIABLE

🕒 Date: 2025-09-11 | ⏱️ Read time: 3 min read

How new tools are transforming data scientists’ essential workflows
📌 The Arcane Network

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read

How to use network science and Python to map out the popular show
📌 From Code to Paper: Using GPT Models and Python to Generate Scientific LaTeX Documents

🗂 Category: CHATGPT

🕒 Date: 2024-12-02 | ⏱️ Read time: 13 min read

Automating Scientific Code Documentation: A GPT-Powered POC for Streamlined Workflows
📌 Google Gemini Is Entering the Advent of Code Challenge

🗂 Category: CHATGPT

🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read

An open-source project to explore the capabilities and limitations of LLMs on coding challenges
📌 Modeling DAU with Markov Chain

🗂 Category:

🕒 Date: 2024-12-02 | ⏱️ Read time: 23 min read

How to predict DAU using Duolingo’s growth model and control the prediction
📌 Smaller Is Smarter

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-01 | ⏱️ Read time: 4 min read

Do you really need the power of top LLMs for a tiramisu recipe in Shakespearean…
📌 The Lead, Shadow, and Sparring Roles in New Data Settings

🗂 Category:

🕒 Date: 2024-12-01 | ⏱️ Read time: 10 min read

From data engineer to domain expert-what it takes to build a new data platform
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📌 How to Solve a Simple Problem With Machine Learning

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-01 | ⏱️ Read time: 8 min read

A technical walkthrough of lesson one
📌 Making News Recommendations Explainable with Large Language Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-30 | ⏱️ Read time: 7 min read

A prompt-based experiment to improve both accuracy and transparent reasoning in content personalization.
📌 Grokking Behavioral Interviews

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-30 | ⏱️ Read time: 8 min read

Master the art of behavioral interviews and land your dream job
📌 Model Validation Techniques, Explained: A Visual Guide with Code Examples

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-30 | ⏱️ Read time: 28 min read

12 must-know methods to validate your machine learning
📌 Dunder Methods: The Hidden Gems of Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-30 | ⏱️ Read time: 9 min read

Real-world examples on how actively using special methods can simplify coding and improve readability
📌 Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query!

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read

5 practical use cases that prove Power Query is worth exploring.
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📌 Water Cooler Small Talk: Simpson’s Paradox

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-29 | ⏱️ Read time: 10 min read

Is your data tricking you? What can you do about it?
📌 Multimodal Embeddings: An Introduction

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read

Mapping text and images into a common space
📌 AI Math: The Bias-Variance Trade-off in Deep Learning

🗂 Category: DEEP LEARNING

🕒 Date: 2024-11-29 | ⏱️ Read time: 60 min read

A visual tour from classical statistics to the nuances of deep learning
📌 Porting Twitter’s Anomaly Detection Algorithm To Swift

🗂 Category: TWITTER

🕒 Date: 2024-11-29 | ⏱️ Read time: 12 min read

From Twitter to Swift: Building Anomaly Detection.
📌 GenAI is Reshaping Data Science Teams

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-29 | ⏱️ Read time: 11 min read

Challenges, opportunities, and the evolving role of data scientists
📌 The Intuition behind Concordance Index – Survival Analysis

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-28 | ⏱️ Read time: 19 min read

Ranking accuracy versus absolute accuracy
📌 Complete MLOPS Cycle for a Computer Vision Project

🗂 Category:

🕒 Date: 2024-11-28 | ⏱️ Read time: 9 min read

These days, we encounter (and maybe produce on our own) many computer vision projects, where…
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