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 Causal ML for the Aspiring Data Scientist

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-26 | ⏱️ Read time: 18 min read

An accessible introduction to causal inference and ML

#DataScience #AI #Python
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πŸ“Œ How Cursor Actually Indexes Your Codebase

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-26 | ⏱️ Read time: 10 min read

Exploring the RAG pipeline in Cursor that powers code indexing and retrieval for coding agents

#DataScience #AI #Python
πŸ“Œ Ray: Distributed Computing For All, Part 2

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2026-01-26 | ⏱️ Read time: 11 min read

Deploying and running Python code on cloud-based clusters

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πŸ“Œ How Convolutional Neural Networks Learn Musical Similarity

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-26 | ⏱️ Read time: 13 min read

Learning audio embeddings with contrastive learning and deploying them in a real music recommendation app

#DataScience #AI #Python
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πŸ“Œ Going Beyond the Context Window: Recursive Language Models in Action

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-27 | ⏱️ Read time: 24 min read

Explore a practical approach to analysing massive datasets with LLMs

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πŸ“Œ Data Science as Engineering: Foundations, Education, and Professional Identity

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-27 | ⏱️ Read time: 15 min read

Recognize data science as an engineering practice and structure education accordingly.

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πŸ“Œ From Connections to Meaning: Why Heterogeneous Graph Transformers (HGT) Change Demand Forecasting

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-27 | ⏱️ Read time: 12 min read

How relationship-aware graphs turn connected forecasts into operational insight

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πŸ“Œ Layered Architecture for Building Readable, Robust, and Extensible Apps

πŸ—‚ Category: SOFTWARE ENGINEERING

πŸ•’ Date: 2026-01-27 | ⏱️ Read time: 11 min read

If adding a feature feels like open-heart surgery on your codebase, the problem isn’t bugs,…

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πŸ’› Top 10 Best Websites to Learn Machine Learning ⭐️
by [@codeprogrammer]

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🧠 Google’s ML Course
πŸ”— https://developers.google.com/machine-learning/crash-course

πŸ“ˆ Kaggle Courses
πŸ”— https://kaggle.com/learn

πŸ§‘β€πŸŽ“ Coursera – Andrew Ng’s ML Course
πŸ”— https://coursera.org/learn/machine-learning

⚑️ Fast.ai
πŸ”— https://fast.ai

πŸ”§ Scikit-Learn Documentation
πŸ”— https://scikit-learn.org

πŸ“Ή TensorFlow Tutorials
πŸ”— https://tensorflow.org/tutorials

πŸ”₯ PyTorch Tutorials
πŸ”— https://docs.pytorch.org/tutorials/

πŸ›οΈ MIT OpenCourseWare – Machine Learning
πŸ”— https://ocw.mit.edu/courses/6-867-machine-learning-fall-2006/

✍️ Towards Data Science (Blog)
πŸ”— https://towardsdatascience.com

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πŸ’‘ Which one are you starting with? Drop a comment below! πŸ‘‡
#MachineLearning #LearnML #DataScience #AI

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πŸ“Œ I Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python)

πŸ—‚ Category: COMPUTER VISION

πŸ•’ Date: 2026-01-28 | ⏱️ Read time: 9 min read

A step-by-step guide to building a β€œMinority Report”-style interface using OpenCV and MediaPipe

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πŸ“Œ Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-28 | ⏱️ Read time: 12 min read

Estimating neighborhood-level pedestrian risk from real-world incident data

#DataScience #AI #Python