aibydoing/feedback
动手实战人工智能系列教程，希望从监督学习开始，带你入门机器学习和深度学习。我尝试剖析和推导每一个基础算法的原理，将数学过程写出来，同时基于 Python 代码对公式进行实现，做到公式和代码的一一对应。与此同时，我也会利用主流的开源框架重复同样的过程，帮助读者看出手动实现和主流框架实现之间的区别。
This project offers a comprehensive tutorial series for understanding and applying machine learning and deep learning. It breaks down the mathematical principles behind algorithms and then provides Python code implementations, alongside examples using popular open-source frameworks. It's designed for individuals who want to deeply grasp how machine learning models work, from theory to practical application.
127 stars. No commits in the last 6 months.
Use this if you have a basic understanding of Python and college-level math, and want to learn machine learning principles while also gaining hands-on coding experience.
Not ideal if you're looking for a quick guide to using machine learning libraries without diving into the underlying mathematical theory and manual code implementation.
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Dec 03, 2024
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