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numerical-linear-algebra

10,607
2,660
Jupyter Notebook

Project Description

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

numerical-linear-algebra: Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Project Title

numerical-linear-algebra — Comprehensive Jupyter Notebooks for Computational Linear Algebra

Overview

The numerical-linear-algebra project is an open-source repository of Jupyter notebooks designed for the fast.ai Computational Linear Algebra course. It focuses on teaching matrix computations with an emphasis on speed and accuracy, utilizing Python libraries such as Scikit-Learn, Numpy, Numba, and PyTorch. This resource stands out for its practical approach, combining theoretical knowledge with hands-on coding exercises and video lectures for a comprehensive learning experience.

Key Features

  • In-depth Jupyter Notebook教程 covering various aspects of numerical linear algebra.
  • Use of multiple Python libraries for matrix computations, including Scikit-Learn, Numpy, Numba, and PyTorch.
  • Accompanying video lectures on YouTube for enhanced learning.
  • Discussion forums for community engagement and support.

Use Cases

  • Data scientists and analysts looking to improve their understanding of matrix computations.
  • Students in the University of San Francisco's Masters of Science in Analytics program.
  • Coders seeking to enhance their skills in numerical linear algebra for data science applications.

Advantages

  • Provides a practical, hands-on approach to learning computational linear algebra.
  • Integrates video lectures for a multi-faceted learning experience.
  • Offers a community forum for discussion and problem-solving.

Limitations / Considerations

  • The project is specifically geared towards Python, which may not be suitable for those using other programming languages.
  • The depth of the material may be overwhelming for beginners without a strong background in linear algebra.

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Basic Information


📊 Project Information

🏷️ Project Topics

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🎥 Video Tutorials


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Project Information

Created on 5/16/2017
Updated on 10/1/2025