- 书名:Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
- 出版社:O’Reilly Media
- 作者:Mike Cohen
- 出版年份:2022
- 电子书格式: pdf
- 简介:Master linear algebra for data science with this practical guide. Learn core concepts and their applications using Python. This book covers everything from vectors and matrices to eigenvalues and eigenvectors, with clear explanations and hands-on examples. Ideal for data scientists, machine learning engineers, and anyone seeking to deepen their understanding of linear algebra’s role in data analysis and machine learning algorithms. Enhance your skills and unlock the power of linear algebra in your data science projects. Gain practical knowledge and implement solutions immediately using Python. Improve your data analysis techniques and develop more efficient machine learning models.
- ISBN:9781098120610, 10981
- 下载地址(点击下载):
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