Linear Algebra in Data Science - Peter Zizler,Roberta La Haye
-35% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
This textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. The authors accomplish this by offering exercises that escalate in complexity, many of which incorporate MATLAB. Practice projects appear as well for students to better understand the real-world applications of the material covered in a standard linear algebra cou ... Täydellinen kuvaus
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Kuvaus
This textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. The authors accomplish this by offering exercises that escalate in complexity, many of which incorporate MATLAB. Practice projects appear as well for students to better understand the real-world applications of the material covered in a standard linear algebra course. Some topics covered include singular value decomposition, convolution, frequency filtering, and neural networks. Linear Algebra in Data Science is suitable as a supplement to a standard linear algebra course.
Lisätietoja
| Kirjoittaja | Peter Zizler, Roberta La Haye |
|---|---|
| Julkaisija | Springer Nature Switzerland |
| Series | Compact Textbooks in Mathematics |
| Julkaisuvuosi | 2024 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783031549076 |