- 书名:Essential Math for Data Science (Fifth Early Release)
- 出版社:O’Reilly Media, Inc.
- 作者:Thomas Nield
- 出版年份:2022
- 电子书格式: pdf
- 简介:Master the essential math concepts crucial for a successful data science career with Thomas Nield’s “Essential Math for Data Science.” This fifth early release edition provides a comprehensive yet accessible guide to linear algebra, calculus, probability, and statistics. Learn through practical examples and clear explanations, building a solid mathematical foundation for data analysis, machine learning, and deep learning. Ideal for aspiring data scientists, students, and professionals looking to enhance their data skills. Gain the mathematical confidence to tackle complex data challenges and unlock the power of data-driven insights. Get your copy today!
- ISBN:9781098102920, 10981
- 下载地址(点击下载):
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