Book3_Elements-of-Mathematics and Book4_Power-of-Matrix
These are sequential educational volumes in the same book series that complement each other, with Book 3 covering foundational mathematical concepts and Book 4 building on those concepts to explore matrix theory and its applications to machine learning.
About Book3_Elements-of-Mathematics
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Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
# Technical Summary Provides interactive mathematical foundations for machine learning through progressive chapters covering linear algebra, calculus, probability, and statistics with accompanying Jupyter notebooks and visualizations. Implements hands-on examples using NumPy and Matplotlib to demonstrate concepts from basic arithmetic through neural network principles. Designed as an open-source textbook resource with community-driven error correction and supplementary materials linked across the Iris Flower Book series.
About Book4_Power-of-Matrix
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Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
Provides interactive Jupyter notebooks and Python implementations demonstrating matrix operations from foundational linear algebra through applied machine learning algorithms. The content uses the Iris dataset as a recurring pedagogical example, progressively building mathematical concepts with executable code that bridges theory to practical ML applications. Targets learners seeking rigorous mathematical foundations rather than black-box framework usage.
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