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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📌 Stars of the 2024 Paris Olympics

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-12 | ⏱️ Read time: 8 min read

How to use Wikipedia data to visualize the popularity of top athletes and Olympic sports
📌 My Honest Advice for Someone Who Wants to Become a Data Scientist

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-12 | ⏱️ Read time: 7 min read

What I wish someone would tell me before studying data science
📌 LLM-Powered Parsing and Analysis of Semi-Structured & Structured Documents

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-08-12 | ⏱️ Read time: 20 min read

This article shows how to extract desired or key information from semi-structured or unstructured information…
📌 New Approach for Training Physical (as Opposed to Computer-Based) Artificial Neural Networks

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-12 | ⏱️ Read time: 7 min read

Neural networks built from light waves could allow for much more versatile, scalable, and energy-efficient…
📌 The Poisson Bootstrap

🗂 Category: STATISTICS

🕒 Date: 2024-08-12 | ⏱️ Read time: 10 min read

Bootstrapping over large datasets
📌 Advanced Recursive and Follow-Up Retrieval Techniques For Better RAGs

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-12 | ⏱️ Read time: 18 min read

Breaking the problem solves half of it. Chaining them makes it even better.
📌 AI Agents – From Concepts to Practical Implementation in Python

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-12 | ⏱️ Read time: 12 min read

This will change the way you think about AI and its capabilities
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📌 How to practice data analyst interviews with AI

🗂 Category:

🕒 Date: 2024-08-12 | ⏱️ Read time: 8 min read

Using LLMs to generate synthetic data and code
📌 Top Career Websites for Data Engineers

🗂 Category: ANALYTICS

🕒 Date: 2024-08-11 | ⏱️ Read time: 9 min read

How to find fantastic remote jobs and get hired
📌 Accelerating AI/ML Model Training with Custom Operators

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-11 | ⏱️ Read time: 18 min read

On the potential benefits of creating model-specific GPU kernels and their application to optimizing the…
📌 Introduction to Support Vector Machines - Motivation and Basics

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-10 | ⏱️ Read time: 8 min read

Learn basic concepts that make Support Vector Machine a powerful linear classifier
📌 Denormalisation: Thoughtful Optimisation or Irrational Avant-Garde?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-10 | ⏱️ Read time: 19 min read

Perspective on Performance Optimisation and Data Quality
📌 Which Regression technique should you use?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-10 | ⏱️ Read time: 12 min read

Here’s a taxonomy of what is the best regression technique based on your specific dataset
📌 Data Scaling 101: Standardization and Min-Max Scaling Explained

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-08-10 | ⏱️ Read time: 5 min read

When to use MinMaxScaler vs StandardScaler vs something else
📌 Algorithm-Agnostic Model Building with MLflow

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-10 | ⏱️ Read time: 10 min read

A beginner-friendly step-by-step guide to creating generic ML pipelines using mlflow.pyfunc
📌 Running a SOTA 7B Parameter Embedding Model on a Single GPU

🗂 Category:

🕒 Date: 2024-08-09 | ⏱️ Read time: 19 min read

In this post I will explain how to run a state-of-the-art 7B parameter LLM based…
📌 Improving Code Quality During Data Transformation with Polars

🗂 Category:

🕒 Date: 2024-08-09 | ⏱️ Read time: 6 min read

Optimize your data workflows with Polars by improving code quality and refining transformations with these…
📌 Structured Outputs and How to Use Them

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 5 min read

Building robustness and determinism in LLM applications
📌 Pre-Commit & Git Hooks: Automate High Code Quality

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 6 min read

How to improve your code quality with pre-commit and git hooks
📌 KernelSHAP can be misleading with correlated predictors

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 7 min read

A concrete case study
📌 AI for the Absolute Novice – Intuitively and Exhaustively Explained

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 40 min read

From “I’ve never coded” to making an AI model from scratch.