Introductory Mathematics for Data Science: Linear Algebra, Probability, and

by Thomas Nield

$89 · Offered by eBay

OVERVIEW This is an authentic Introduction to Mathematics for Data Science: Learning Linear Algebra, Probability, and Statistics with Python Book from Japan. This book offers a hands-on introduction to essential mathematical concepts for data science, including calculus, probability, linear algebra, and statistics, linked with practical algorithms such as linear regression, logistic regression, and neural networks. It emphasizes intuitive understanding through code examples using libraries like SymPy, NumPy, and scikit-learn, minimizing formal mathematical notation. The latter part of the book includes practical advice for developing skills valued in the data science job market and building a career in the field. SPECIFICATIONS Author: Thomas Nield Publisher: O Reilly Japan Pages: 424 Height: 8.3 in ISBN-13: 9784814401260 Language: Japanese Country/Region of Manufacture: Japan h2 {margin: 0 0 10px 0;color: #000;font-size: 22px; line-height: 1.2; text-align: left;}p, div {margin: 0; padding: 0 0 20px 0; color: #333;text-align: left;}h2 {border-left: 5px solid #1190d9; background-color: #f1f1f1; padding: 10px 20px;} Thank you for taking a look at the item we are listing. This item is a used item. If you have any questions or concerns about this item, please feel free to contact us. We also have many other items on eBay besides this one. It would be great if you could take a look at those as well. If you do not see the item you want in our listings, please contact us and we will

• Publisher: O'Reilly Japan
• Year: 2025
• Condition: Very Good

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