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 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
πŸ“Œ Jingle Bells and Statistical Tests

πŸ—‚ Category: STATISTICS

πŸ•’ Date: 2024-12-25 | ⏱️ Read time: 8 min read

Data Types, Hypotheses and Statistical Tests That Fit Them with Festive Christmas Market Examples
πŸ“Œ Speed Up PyTorch With Custom Kernels. But It Gets Progressively Darker

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-01-09 | ⏱️ Read time: 5 min read

We’ll begin with torch.compile, move on to writing a custom Triton kernel, and finally dive…
πŸ“Œ Missing Data in Time-Series? Machine Learning Techniques (Part 2)

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-01-08 | ⏱️ Read time: 12 min read

Using Clustering Algorithms to Handle Missing Time-Series Data
πŸ“Œ Advanced SQL Techniques for Unstructured Data Handling

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-08 | ⏱️ Read time: 7 min read

Everything you need to know to get started with text mining
πŸ“Œ Statistical Learnability of Strategic Linear Classifiers: A Proof Walkthrough

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-01-08 | ⏱️ Read time: 19 min read

With the help of an intricate geometric construction, we can prove that instance-wise cost functions…
πŸ“Œ Learning ML or Learning About Learning ML?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-03 | ⏱️ Read time: 4 min read

Pragmatism versus (over-)planning
πŸ“Œ A Visual Guide to Tuning Gradient Boosted Trees

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-09-15 | ⏱️ Read time: 10 min read

Introduction My previous posts looked at the bog-standard decision tree and the wonder of a…
πŸ“Œ Implementing the Coffee Machine Project in Python Using Object Oriented Programming

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-09-15 | ⏱️ Read time: 9 min read

Understanding classes, objects, attributes, and methods
πŸ“Œ You Only Need 3 Things to Turn AI Experiments into AI Advantage

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-09-15 | ⏱️ Read time: 7 min read

Trapped in a purgatory of POCs enterprises need to focus and build just 3 pillars…