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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πŸ“Œ The Math Behind In-Context Learning

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-12-31 | ⏱️ Read time: 6 min read

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

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-12-31 | ⏱️ Read time: 10 min read

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

πŸ—‚ Category: ANALYTICS

πŸ•’ Date: 2024-12-30 | ⏱️ Read time: 3 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-12-30 | ⏱️ Read time: 7 min read

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

πŸ—‚ Category:

πŸ•’ Date: 2024-12-30 | ⏱️ Read time: 7 min read

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

πŸ—‚ Category:

πŸ•’ 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…
πŸ“Œ I Combined the Blockchain and AI to Generate Art. Here’s What Happened Next.

πŸ—‚ Category: BLOCKCHAIN

πŸ•’ Date: 2024-12-30 | ⏱️ Read time: 8 min read

Using LLMs to create artistic representations of data
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πŸ“Œ Introducing n-Step Temporal-Difference Methods

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-12-29 | ⏱️ Read time: 10 min read

Dissecting β€œReinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode V
πŸ“Œ Superposition: What Makes it Difficult to Explain Neural Network

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-12-29 | ⏱️ Read time: 7 min read

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

πŸ—‚ Category:

πŸ•’ Date: 2024-12-28 | ⏱️ Read time: 10 min read

How to choose the right concurrency model
πŸ“Œ Measuring Cross-Product Adoption Using dbt_set_similarity

πŸ—‚ Category: SQL

πŸ•’ Date: 2024-12-28 | ⏱️ Read time: 5 min read

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

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2024-12-27 | ⏱️ Read time: 13 min read

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

πŸ—‚ Category:

πŸ•’ 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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πŸ“Œ Lessons from COVID-19: Why Probability Distributions Matter

πŸ—‚ Category: COVID-19

πŸ•’ Date: 2024-12-27 | ⏱️ Read time: 13 min read

Understanding Distributions with Extremes: Probability for Data Science Series (END)
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πŸ“Œ Track Computer Vision Experiments with MLflow

πŸ—‚ Category:

πŸ•’ Date: 2024-12-26 | ⏱️ Read time: 10 min read

Discover how to set up an efficient MLflow environment to track your experiments, compare and…
πŸ“Œ How Neural Networks Learn: A Probabilistic Viewpoint

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-12-26 | ⏱️ Read time: 8 min read

Understanding Loss Functions in Training Neural Networks
πŸ“Œ Linearizing Attention

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-12-26 | ⏱️ Read time: 8 min read

Breaking the Quadratic Barrier: Modern Alternatives to Softmax Attention
πŸ“Œ Your Company Needs Small Language Models

πŸ—‚ Category: CHATGPT

πŸ•’ Date: 2024-12-26 | ⏱️ Read time: 15 min read

When specialized models outperform general-purpose models
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πŸ“Œ Calculating a linear extrapolation (or Trend) in DAX

πŸ—‚ Category:

πŸ•’ Date: 2024-12-26 | ⏱️ Read time: 10 min read

In DAX there is no built-in method to calculate a Trend. Therefore we must do…
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πŸ“Œ Training LLM, from Scratch, in Rust

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-12-26 | ⏱️ Read time: 16 min read

In this companion article, I’ll show my implementation for training from scratch a GPT-like model,…
πŸ“Œ Understanding When and How to Implement FastAPI Middleware (Examples and Use Cases)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-12-25 | ⏱️ Read time: 4 min read

Supercharge Your FastAPI with Middleware: Practical Use Cases and Examples