Linear Algebra for Data Science, Machine Learning, and Signal Processing, Hardback

Master basic matrix methods by seeing how the mathematics 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.

• Publisher: Cambridge University Press
• Author(s): Raj Rao (University of Michigan, Ann Arbor) Nadakuditi
• Illustration(s): Worked examples or Exercises
• Number of pages: 450
• Publication date: 2024
• Dimensions: 176 x 251 x 31
• Cover type: Hardback