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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📌 How to Evaluate LLMs and Algorithms — The Right Way

🗂 Category: THE VARIABLE

🕒 Date: 2025-05-23 | ⏱️ Read time: 3 min read

This week, we focus on the best strategies for evaluating and benchmarking the performance of…
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📌 Multiple Linear Regression Analysis

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-22 | ⏱️ Read time: 12 min read

Implementation of multiple linear regression on real data: Assumption checks, model evaluation, and interpretation of…
📌 Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-22 | ⏱️ Read time: 20 min read

Introduction AlphaEvolve 1 is a promising new coding agent by Google’s DeepMind. Let’s look at…
📌 Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed

🗂 Category: PROGRAMMING

🕒 Date: 2025-05-22 | ⏱️ Read time: 12 min read

Coding concepts that distinguish an amateur from a professional data scientist
📌 What Statistics Can Tell Us About NBA Coaches

🗂 Category:

🕒 Date: 2025-05-22 | ⏱️ Read time: 10 min read

Using Python to determine where NBA coaches come from and what makes them successful
📌 About Calculating Date Ranges in DAX

🗂 Category: DATA ANALYSIS

🕒 Date: 2025-05-22 | ⏱️ Read time: 7 min read

When performing date calculations, creating date ranges can be helpful. But how can we do…
📌 Top Machine Learning Jobs and How to Prepare For Them

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-05-21 | ⏱️ Read time: 8 min read

Explaining the different machine learning roles
📌 Use PyTorch to Easily Access Your GPU

🗂 Category: PROGRAMMING

🕒 Date: 2025-05-21 | ⏱️ Read time: 12 min read

Or … how an ML library can accelerate non-ML computations
📌 Building AI Applications in Ruby

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-21 | ⏱️ Read time: 15 min read

Why Ruby may be the best language to write your next AI web application
📌 What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-05-20 | ⏱️ Read time: 8 min read

A meta analysis that turns out positive yet identifies the need for further research
📌 I Teach Data Viz with a Bag of Rocks

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-20 | ⏱️ Read time: 5 min read

Here’s Why Domain-Specific Integration Matters in Your Data Science Workflows
📌 Optimizing Multi-Objective Problems with Desirability Functions

🗂 Category: DATA SCIENCE

🕒 Date: 2025-05-20 | ⏱️ Read time: 8 min read

Applied to a very real problem: baking bread!
📌 How to Set the Number of Trees in Random Forest

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-05-16 | ⏱️ Read time: 13 min read

A practical introduction to the optRF package
📌 How to Build an AI Journal with LlamaIndex

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-16 | ⏱️ Read time: 10 min read

A step-by-step guide for building an AI assistant powered by LlamaIndex
📌 The Automation Trap: Why Low-Code AI Models Fail When You Scale

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-16 | ⏱️ Read time: 7 min read

Low-code AI platforms promise speed, a model without a single line of code. But when…
📌 Agentic AI 102: Guardrails and Agent Evaluation

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-16 | ⏱️ Read time: 12 min read

An introduction to tools that make your model safer and more predictable and performant.
📌 Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-05-15 | ⏱️ Read time: 6 min read

A blend of LLMs’ creative generation capabilities with genetic algorithms
📌 Understanding Random Forest using Python (scikit-learn)

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-05-15 | ⏱️ Read time: 9 min read

A Random Forest is a powerful machine learning algorithm that can be used for classification…
📌 How to Learn the Math Needed for Machine Learning

🗂 Category: MATH

🕒 Date: 2025-05-15 | ⏱️ Read time: 7 min read

A breakdown of the three fundamental math fields required for machine learning: statistics, linear algebra,…
📌 Explore the New World of Agent Protocols

🗂 Category: THE VARIABLE

🕒 Date: 2025-05-15 | ⏱️ Read time: 3 min read

This week, we focus on helping you gain a deeper understanding of MCP and other…
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📌 Boost 2-Bit LLM Accuracy with EoRA

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-05-15 | ⏱️ Read time: 9 min read

A training-free solution for extreme LLM compression.