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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📌 Scaling Statistics: Incremental Standard Deviation in SQL with dbt

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-01 | ⏱️ Read time: 7 min read

Why scan yesterday’s data when you can increment today’s?
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📌 Mastering Sensor Fusion: Color Image Obstacle Detection with KITTI Data – Part 2

🗂 Category: DEEP LEARNING

🕒 Date: 2025-01-01 | ⏱️ Read time: 26 min read

How to use Color Image data for object detection in the context of obstacle detection
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📌 Transforming Data into Solutions: Building a Smart App with Python and AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-01 | ⏱️ Read time: 13 min read

Some financial analysts worry that artificial intelligence may not justify the massive investments being made…
📌 Chi-Squared Test: Comparing Variations Through Soccer

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-01 | ⏱️ Read time: 13 min read

Understanding Different Types of Chi-Squared Tests: A/B Testing for Data Science Series (8)
📌 Multi-Agentic RAG with Hugging Face Code Agents

🗂 Category:

🕒 Date: 2024-12-31 | ⏱️ Read time: 80 min read

Using Qwen2.5-7B-Instruct powered code agents to create a local, open source, multi-agentic RAG system
📌 Top 12 Skills Data Scientists Need to Succeed in 2025

🗂 Category: CAREER ADVICE

🕒 Date: 2024-12-31 | ⏱️ Read time: 27 min read

It’s (not) all about LLMs and AI tools
📌 Creating SMOTE Oversampling from Scratch

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-31 | ⏱️ Read time: 8 min read

A Python tutorial on how to implement oversampling and how to make custom variations
📌 The Math Behind In-Context Learning

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-12-31 | ⏱️ Read time: 6 min read

From attention to gradient descent: unraveling how transformers learn from examples
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📌 The Key to Smarter Models: Tracking Feature Histories

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-31 | ⏱️ Read time: 10 min read

Capture context and improve predictions with historical data
📌 From Default Python Line Chart to Journal-Quality Infographics

🗂 Category: ANALYTICS

🕒 Date: 2024-12-30 | ⏱️ Read time: 3 min read

Transform boring default Matplotlib line charts into stunning, customized visualizations
📌 Mastering Model Uncertainty: Thresholding Techniques in Deep Learning

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-30 | ⏱️ Read time: 7 min read

A few words on thresholding, the softmax activation function, introducing an extra label, and considerations…
📌 How to Build a Resume Optimizer with AI

🗂 Category:

🕒 Date: 2024-12-30 | ⏱️ Read time: 7 min read

Step-by-step guide with example Python code
📌 How to Build a Graph RAG App

🗂 Category:

🕒 Date: 2024-12-30 | ⏱️ Read time: 30 min read

The accompanying code for the app and notebook are here. Knowledge graphs (KGs) and Large Language…
📌 I Combined the Blockchain and AI to Generate Art. Here’s What Happened Next.

🗂 Category: BLOCKCHAIN

🕒 Date: 2024-12-30 | ⏱️ Read time: 8 min read

Using LLMs to create artistic representations of data
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📌 Introducing n-Step Temporal-Difference Methods

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-12-29 | ⏱️ Read time: 10 min read

Dissecting “Reinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode V
📌 Superposition: What Makes it Difficult to Explain Neural Network

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-12-29 | ⏱️ Read time: 7 min read

When there are more features than model dimensions
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📌 Deep Dive into Multithreading, Multiprocessing, and Asyncio

🗂 Category:

🕒 Date: 2024-12-28 | ⏱️ Read time: 10 min read

How to choose the right concurrency model
📌 Measuring Cross-Product Adoption Using dbt_set_similarity

🗂 Category: SQL

🕒 Date: 2024-12-28 | ⏱️ Read time: 5 min read

Enhancing cross-product insights within dbt workflows
📌 Master Bots Before Starting with AI Agents: Simple Steps to Create a Mastodon Bot with Python

🗂 Category: PROGRAMMING

🕒 Date: 2024-12-27 | ⏱️ Read time: 13 min read

I recently published a post on Mastodon that was shared by six other accounts within…
📌 Understanding the Optimization Process Pipeline in Linear Programming

🗂 Category:

🕒 Date: 2024-12-27 | ⏱️ Read time: 8 min read

An introduction to the backend and frontend processes in linear programming, including the mathematical programming…
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📌 Lessons from COVID-19: Why Probability Distributions Matter

🗂 Category: COVID-19

🕒 Date: 2024-12-27 | ⏱️ Read time: 13 min read

Understanding Distributions with Extremes: Probability for Data Science Series (END)
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