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Item #:
14327703
Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
87% of respondents would recommend this to a friend
Item #:
14327703
NAD 1244
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What Stands Out
Comprehensive Content
Covers essential topics in applied linear algebra, including vectors, matrices, and least squares, making it a perfect resource for students and professionals looking to strengthen foundational knowledge.
Practical Applications
Offers real-world examples and applications that bridge theory and practice, helping users understand how linear algebra techniques are used in various fields, from engineering to data science.
Structured Learning
Well-organized chapters and clear explanations enhance learning efficiency, providing a step-by-step approach that caters to different learning paces, ensuring deeper comprehension of complex concepts.
Product Details
| Publisher | Cambridge University Press |
| Publication date | June 7, 2018 |
| Edition | 1st |
| Language | English |
| Print length | 474 pages |
| ISBN-10 | 1316518965 |
| ISBN-13 | 978-1316518960 |
| Item Weight | 2.58 pounds (1.17 kg) |
| Dimensions | 7.75 x 1 x 10 inches (19.7 x 2.5 x 25.4 cm) |
Who Should Buy?
-
Students in Math
Ideal for undergraduate students studying linear algebra, providing foundational understanding and practical applications.
-
Data Science Aspirants
Beneficial for those pursuing data science, as it covers essential concepts in matrices and least squares.
-
Engineering Professionals
Useful for engineers requiring a solid grasp of linear algebra for modeling and solving complex problems.
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Complete Beginners
Not suitable for absolute beginners; prior understanding of algebra concepts is needed to grasp the material.
Product Description
Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
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Linear Editorial Review
Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares is an impressive resource for those looking to delve into practical applications of linear algebra. The book, published by Cambridge University Press, provides clear explanations, uses precise nomenclature, and emphasizes real-world applications, especially in fields like machine learning and data science. Readers have appreciated its well-organized structure and the inclusion of numerous examples, which bring to life the complex concepts of vectors and matrices. While it may not be the best choice for those seeking a rigorous theoretical approach, this book offers accessibility and clarity that is invaluable for students and professionals alike.
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Pros
- Covers practical applications in data science
- Clarity of presentation is commendable
- Numerous examples enhance understanding
- Well organized with exercises
- Accessible for beginners in linear algebra
Cons
- Not rigorous enough for advanced theoretical study
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