https://github.com/shaheennabi/maths-for-data-science-explained
📚 Maths for Data Science Explained ✨🔢 A dedicated space where I explore and explain the mathematics behind data science, machine learning, deep learning, and algorithms. 🚀💡 Each topic comes with a detailed explanation, covering key concepts, step-by-step derivations, and practical insights. 🧠⚡ This repo serves as my personal learning journey.
https://github.com/shaheennabi/maths-for-data-science-explained
linear-algebra maths-behind-reinforcement-learning maths-for-computer-vision maths-for-deep-learning maths-for-machine-learning maths-for-nlp neural-networks probability statistics
Last synced: about 1 month ago
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📚 Maths for Data Science Explained ✨🔢 A dedicated space where I explore and explain the mathematics behind data science, machine learning, deep learning, and algorithms. 🚀💡 Each topic comes with a detailed explanation, covering key concepts, step-by-step derivations, and practical insights. 🧠⚡ This repo serves as my personal learning journey.
- Host: GitHub
- URL: https://github.com/shaheennabi/maths-for-data-science-explained
- Owner: shaheennabi
- License: mit
- Created: 2025-03-11T17:01:43.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-19T17:24:24.000Z (about 2 months ago)
- Last Synced: 2025-03-19T18:31:13.680Z (about 2 months ago)
- Topics: linear-algebra, maths-behind-reinforcement-learning, maths-for-computer-vision, maths-for-deep-learning, maths-for-machine-learning, maths-for-nlp, neural-networks, probability, statistics
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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