Linear Algebra in Data Science by Peter Zizler
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.
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The Kurzweil-Henstock Integral for Undergraduates
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Geometric Multiplication of Vectors
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Tessellations with Stars and Rosettes
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Vector Bundles and Connections
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Introduction to Functional Analysis
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An Introduction to the Language of Category Theory
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Projective Geometry
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Probabilistic Methods in Telecommunications
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Mathematical Portfolio Theory and Analysis
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Introduction to Ring and Module Theory
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Elements of General Relativity
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A Course on Topological Vector Spaces
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An Introduction to Catalan Numbers
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Differential Equations: Methods and Applications
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A Compact Capstone Course in Classical Calculus
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Tensors for Scientists
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Linear Algebra
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Turning Points in the History of Mathematics
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Basic Monotonicity Methods with Some Applications
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Introduction to Quasi-Monte Carlo Integration and Applications
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From Groups to Categorial Algebra
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Measure and Integral
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Exploring Classical Greek Construction Problems with Interactive Geometry Software
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Differential Geometry
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A Basic Course in Topology
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Geometry by Its Transformations
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Elementary Numerical Mathematics for Programmers and Engineers
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Introduction to Geometry and Topology
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Introduction to Quantitative Methods for Financial Markets
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A Primer on Hilbert Space Operators
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Introduction to Infinity-Categories
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Lebesgue Integral
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Finite Element Approximation of Boundary Value Problems
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A Course in Combinatorics and Graphs
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The Mathematics of Voting and Apportionment
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Mathematical Thinking
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Statistics for Mathematicians
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Basics of Programming and Algorithms, Principles and Applications
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A Basic Guide to Uniqueness Problems for Evolutionary Differential Equations
Peter Zizler is a professor of mathematics at Mount Royal University in Calgary. He holds a Ph.D. in mathematics (linear algebra). He has publications in various journals with research done in diverse areas of linear algebra, Fourier analysis and wavelet analysis. He has also published articles on the Gini index and Lorenz curve, research papers in mathematical education and statistics. He has also previously co-authored a textbook with Springer, Introduction to Modern Analysis (2015), as well as a chapter Applications of the Gini Index Beyond Economics and Statistics, in the Handbook of the Mathematics of the Arts and Sciences, Springer (2021).
Roberta La Haye is an associate professor of mathematics at Mount Royal University in Calgary. She holds a Ph.D. in mathematics (group theory). Her current research interests include ties between mathematics and the visual art and ties between mathematics and statistics. She has publications in mathematics journals, visual arts education journals and statistics journals as well as co-authored book chapters in Co-Teaching in Higher Education: From Theory to Co-Practice, University of Toronto Press, (2017) and Applications of the Gini Index Beyond Economics and Statistics, in the Handbook of the Mathematics of the Arts and Sciences, Springer (2021).
Roberta La Haye is an associate professor of mathematics at Mount Royal University in Calgary. She holds a Ph.D. in mathematics (group theory). Her current research interests include ties between mathematics and the visual art and ties between mathematics and statistics. She has publications in mathematics journals, visual arts education journals and statistics journals as well as co-authored book chapters in Co-Teaching in Higher Education: From Theory to Co-Practice, University of Toronto Press, (2017) and Applications of the Gini Index Beyond Economics and Statistics, in the Handbook of the Mathematics of the Arts and Sciences, Springer (2021).
| SKU | Unavailable |
| ISBN 13 | 9783031549076 |
| ISBN 10 | 3031549074 |
| Title | Linear Algebra in Data Science |
| Author | Peter Zizler |
| Series | Compact Textbooks In Mathematics |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Birkhauser Verlag AG |
| Year published | 2024-05-15 |
| Number of pages | 199 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |