Practical linear algebra (37 Ergebnisse)

Zustand: New. In English.

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New. pp. viii + 286 Illus.

Hardcover. Octavo, xvi, 384 pages. In Very Good condition. Spine is black with white print. Boards in glossy illustrated paper; slight shelf wear. Illustrated: b&w diagrams. NOTE: Shelved in Netdesk Column DD. 1414777. FP New Rockville Stock.

Zustand: New. pp. viii + 296 Illus.

Zustand: New. In English.

Hardcover. Zustand: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingMaster Linear Algebra for Smarter Financial Decision-MakingLinear algebra is the backbone of quantitative finance, powering everything from portfolio optimization and risk management to algorithmic trading and machine learning models. Whether you're an investor, trader, or risk analyst, understanding matrix operations, eigenvalues, and vector spaces is essential for developing data-driven financial strategies.This comprehensive guide demystifies linear algebra and its real-world applications in finance, providing you with hands-on examples, Python implementations, and step-by-step explanations to sharpen your quantitative skills.What You'll Learn: Matrix Algebra & Financial Applications - Covariance matrices, risk modeling, and asset correlationsEigenvalues & Principal Component Analysis (PCA) - Reduce dimensionality and uncover market factorsMarkowitz Modern Portfolio Theory (MPT) - Construct efficient portfolios using optimization techniquesLinear Regression & Factor Models - Apply linear algebra to predictive analytics and risk factor analysisAlgorithmic Trading & Machine Learning - Use matrix-based models to enhance trading strategiesWho This Book is For: Traders & Investors - Improve portfolio allocation with quantitative modelsFinancial Analysts & Risk Managers - Master covariance matrices and eigenvalue decomposition for better risk assessmentStudents & Quantitative Finance Professionals - Strengthen your mathematical foundation for machine learning and algorithmic tradingWith clear explanations, real-world case studies, and Python implementations, this book is designed to turn abstract math into actionable financial insights.Take your quantitative finance skills to the next level, get your copy today.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 300 pages. 9.19x7.00x0.69 inches. In Stock.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: NEW.

Hardcover. Zustand: sehr gut. Hardcover gr. 8°. xvi, 384 pages. with figures. good condition in englischer Sprache (in english).

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware - If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms. Ideal for practitioners and students using computer technology and algorithms, this book introduces you to: - The interpretations and applications of vectors and matrices - Matrix arithmetic (various multiplications and transformations) - Independence, rank, and inverses - Important decompositions used in applied linear algebra (including LU and QR) - Eigendecomposition and singular value decomposition - Applications including least-squares model fitting and principal components analysis. …

Zustand: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. In English.

Zustand: New. &Uumlber den AutorMike is an associate professor of neuroscience at the Donders Institute (Radboud University Medical Centre) in the Netherlands. He has over 20 years experience teaching scientific coding, data analysis, statistics, and.

Zustand: New.

Zustand: New. Gerald Farin (deceased) was a professor in the School of Computing, Informatics, and Design Systems Engineering (CIDSE) at Arizona State University. He received his doctoral degree in mathematics from the University of Braunschweig, Germ.

Paperback. Zustand: Brand New. 4th edition. 590 pages. 9.25x7.50x1.30 inches. In Stock.

Hardcover. Zustand: Brand New. 2nd edition. 308 pages. 9.00x6.25x0.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Practical Linear Algebra | A Geometry Toolbox | Gerald Farin (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9781032021911 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu. …