Linear algebra for data science, machine learning, and signal processing
- London : Cambridge University Press, 2024.
- xviii, 431 p. ; ill., (Chifly col.), 25 cm.
Includes bibliographical references and index.
Master basic matrix methods by seeing how the math is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as well as online JULIA demos offering a hands-on learning experience for upper-level undergraduates and first-year graduate students.
9781009418140 (hbk)
Algebras, Linear Machine learning Mathematics Matrices Signal processing