Algebra Lineal Ciencia De Datos

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Álgebra Lineal Ciencia de Datos

Author : Gilbert Strang
Publisher : SIAM
ISBN 13 : 161197738X
Total Pages : 450 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Álgebra Lineal Ciencia de Datos by : Gilbert Strang

Download or read book Álgebra Lineal Ciencia de Datos written by Gilbert Strang and published by SIAM. This book was released on 2022-08-19 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Álgebra lineal y los fundamentos del aprendizaje profundo, ¡juntos por fin! Del profesor Gilbert Strang, aclamado autor de Introducción al álgebra lineal, llega Álgebra lineal en ciencia de datos, el primer libro de texto que enseña álgebra lineal junto con aprendizaje profundo y redes neuronales. Este libro de texto ameno pero riguroso contiene un curso completo de álgebra lineal y de la matemática relacionada que los estudiantes deben saber para familiarizarse con el aprendizaje a partir de los datos. Se incluyen: los cuatro subespacios fundamentales, descomposición en valores singulares, matrices especiales, técnicas de cálculo con matrices grandes, compressed sensing, probabilidad y estadística, optimización, arquitectura de redes neuronales, descenso por gradiente estocástico y retropropagación.

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

Author : Jeffrey A. Fessler
Publisher : Cambridge University Press
ISBN 13 : 1009418149
Total Pages : 453 pages
Book Rating : 4.0/5 (94 download)

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Book Synopsis Linear Algebra for Data Science, Machine Learning, and Signal Processing by : Jeffrey A. Fessler

Download or read book Linear Algebra for Data Science, Machine Learning, and Signal Processing written by Jeffrey A. Fessler and published by Cambridge University Press. This book was released on 2024-04-30 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master matrix methods via engaging data-driven applications, aided by classroom-tested quizzes, homework exercises and online Julia demos.

Álgebra Lineal Aplicada a las Ciencias Sociales

Author : Martín Díaz Rodríguez
Publisher : Universidad del Norte
ISBN 13 : 9587410084
Total Pages : 149 pages
Book Rating : 4.5/5 (874 download)

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Book Synopsis Álgebra Lineal Aplicada a las Ciencias Sociales by : Martín Díaz Rodríguez

Download or read book Álgebra Lineal Aplicada a las Ciencias Sociales written by Martín Díaz Rodríguez and published by Universidad del Norte. This book was released on 2008 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este manual se propone cubrir plenamente los temas de álgebra lineal que requieren los profesionales y estudiantes de Ciencias Económicas como base para el desarrollo de otras áreas como la investigación de operaciones, entre otras. Para ello se presentan los conceptos básicos de matrices, determinantes, sistemas de ecuaciones lineales. Ademas, se incluye talleres para desarrollar en Matlab, con el fin de fortalecer los conceptos básicos, así como ejemplos de aplicación y ejercicios relativos a temas económicos y financieros.

Practical Linear Algebra for Data Science

Author : Mike X Cohen
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098120574
Total Pages : 313 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Practical Linear Algebra for Data Science by : Mike X Cohen

Download or read book Practical Linear Algebra for Data Science written by Mike X Cohen and published by "O'Reilly Media, Inc.". This book was released on 2022-09-06 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Practical Linear Algebra for Data Science

Author : Mike Cohen
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Practical Linear Algebra for Data Science by : Mike Cohen

Download or read book Practical Linear Algebra for Data Science written by Mike Cohen and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Álgebra Lineal y sus Aplicaciones

Author : Sandra Ibeth Ochoa García
Publisher : Grupo Editorial Patria
ISBN 13 : 6074388903
Total Pages : 465 pages
Book Rating : 4.0/5 (743 download)

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Book Synopsis Álgebra Lineal y sus Aplicaciones by : Sandra Ibeth Ochoa García

Download or read book Álgebra Lineal y sus Aplicaciones written by Sandra Ibeth Ochoa García and published by Grupo Editorial Patria. This book was released on 2014-10-21 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Álgebra lineal y sus aplicaciones constituye un texto planeado y diseñado especialmente para todos los alumnos universitarios que estudian cursos semestrales o anuales de esta asignatura, debido a que se concibe como un texto flexible que se ajusta a los tiempos y necesidades académicas de cada institución. Durante su realización, los autores siempre tuvieron en mente el futuro de los estudiantes como profesionistas, por lo que el principal propósito de esta obra es ofrecerle todas las herramientas cuantitativas que pueda aplicar en la solución de diversos problemas a que se enfrentará en su ámbito académico y laboral, y que lo apoyarán a una mejor toma de decisiones. Con base en esta premisa, a lo largo de todo el libro el lector encontrará diversas aplicaciones a diferentes áreas, entre las que destacan la administración, la ingeniería, las finanzas, la económica, las ciencias sociales, la informática, entre muchas otras.

Introduction to Applied Linear Algebra

Author : Stephen Boyd
Publisher : Cambridge University Press
ISBN 13 : 1108569617
Total Pages : 477 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Introduction to Applied Linear Algebra by : Stephen Boyd

Download or read book Introduction to Applied Linear Algebra written by Stephen Boyd and published by Cambridge University Press. This book was released on 2018-06-07 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB®, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.

Curso de álgebra lineal. Teoría con aplicaciones a la economía

Author : Carlos Martínez Fagundo
Publisher : UNAM, Facultad de Economía
ISBN 13 : 6073050690
Total Pages : 244 pages
Book Rating : 4.0/5 (73 download)

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Book Synopsis Curso de álgebra lineal. Teoría con aplicaciones a la economía by : Carlos Martínez Fagundo

Download or read book Curso de álgebra lineal. Teoría con aplicaciones a la economía written by Carlos Martínez Fagundo and published by UNAM, Facultad de Economía. This book was released on 2023-01-24 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: El texto, dirigido fundamentalmente a estudiantes de economía de los niveles de licenciatura y posgrado, puede ser utilizado también por profesionales interesados en ampliar las posibilidades de emplear la matemática en sus análisis económicos. Cubre un vasto campo donde se combinan las técnicas operacionales y de cálculo con los conceptos básicos de las estructuras matemáticas que se estudian, prestando atención a los fundamentos teóricos de la disciplina a un nivel que, sin exceder los límites adecuados para un economista, permiten conservar el suficiente rigor analítico. En la exposición se combinan la teoría con ilustraciones de aplicaciones a la economía. De inicio presenta un conjunto de reflexiones sobre el ámbito de la matemática en la economía, que contribuye al debate sobre el papel de la matemática en el desarrollo de la ciencia económica. Siguiendo una secuencia lógica, se estudian las matrices y los sistemas de ecuaciones lineales reales; los espacios lineales reales; las transformaciones lineales, y se concluye con el tema de las transformaciones de semejanza. Desde el inicio se muestran ilustraciones de los conceptos estudiados al análisis económico. Los apéndices a cada capítulo complementan los temas desarrollados en el texto.

Essential Math for Data Science

Author : Thomas Nield
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098102908
Total Pages : 352 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Essential Math for Data Science by : Thomas Nield

Download or read book Essential Math for Data Science written by Thomas Nield and published by "O'Reilly Media, Inc.". This book was released on 2022-05-26 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career. Learn how to: Use Python code and libraries like SymPy, NumPy, and scikit-learn to explore essential mathematical concepts like calculus, linear algebra, statistics, and machine learning Understand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargon Perform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significance Manipulate vectors and matrices and perform matrix decomposition Integrate and build upon incremental knowledge of calculus, probability, statistics, and linear algebra, and apply it to regression models including neural networks Navigate practically through a data science career and avoid common pitfalls, assumptions, and biases while tuning your skill set to stand out in the job market

Álgebra Lineal. Sus Aplicaciones en Economía, Ingenierías y otras Ciencias

Author : Julia García Cabello
Publisher : Delta Publicaciones
ISBN 13 : 8496477126
Total Pages : 472 pages
Book Rating : 4.4/5 (964 download)

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Book Synopsis Álgebra Lineal. Sus Aplicaciones en Economía, Ingenierías y otras Ciencias by : Julia García Cabello

Download or read book Álgebra Lineal. Sus Aplicaciones en Economía, Ingenierías y otras Ciencias written by Julia García Cabello and published by Delta Publicaciones. This book was released on 2005-09 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Se trata de un manual basado en la experiencia docente de la autora con un enfoque claramente práctico y aplicado y de fácil comprensión en su parte teórica. Incluye todas las demostraciones, de manera que aquellos alumnos de carreras técnicas puedan acoger la obra con total interés, pero, por otro lado, su estructuración y cualidades pedagógicas hacen que puedan evitarse la mayoría de ellas sin perder la comprensión de cuánto se expone, haciéndolo asequible también para alumnos de carreras relacionadas con las Ciencias Económicas y Empresariales y, en general, con las Ciencias Sociales.

Applied Linear Algebra

Author : Peter J. Olver
Publisher : Springer
ISBN 13 : 3319910418
Total Pages : 702 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Applied Linear Algebra by : Peter J. Olver

Download or read book Applied Linear Algebra written by Peter J. Olver and published by Springer. This book was released on 2018-05-30 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics. Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems. No previous knowledge of linear algebra is needed to approach this text, with single-variable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here.

Practical Linear Algebra for Data Science

Author : Mike X. Cohen
Publisher :
ISBN 13 : 9787576605884
Total Pages : 0 pages
Book Rating : 4.6/5 (58 download)

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Book Synopsis Practical Linear Algebra for Data Science by : Mike X. Cohen

Download or read book Practical Linear Algebra for Data Science written by Mike X. Cohen and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Álgebra lineal

Author : Ron Larson
Publisher : Piramide Ediciones Sa
ISBN 13 : 9788436818789
Total Pages : 539 pages
Book Rating : 4.8/5 (187 download)

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Book Synopsis Álgebra lineal by : Ron Larson

Download or read book Álgebra lineal written by Ron Larson and published by Piramide Ediciones Sa. This book was released on 2004 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algebra lineal con aplicaciones a las ciencias sociales

Author : Enrique Garza Valdivia
Publisher :
ISBN 13 : 9789681800505
Total Pages : 180 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Algebra lineal con aplicaciones a las ciencias sociales by : Enrique Garza Valdivia

Download or read book Algebra lineal con aplicaciones a las ciencias sociales written by Enrique Garza Valdivia and published by . This book was released on 1978 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Linear Algebra Tools For Data Mining (Second Edition)

Author : Dan A Simovici
Publisher : World Scientific
ISBN 13 : 981127035X
Total Pages : 1002 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Linear Algebra Tools For Data Mining (Second Edition) by : Dan A Simovici

Download or read book Linear Algebra Tools For Data Mining (Second Edition) written by Dan A Simovici and published by World Scientific. This book was released on 2023-06-16 with total page 1002 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and machine learning.Basic knowledge and advanced new topics (spectral theory, singular values, decomposition techniques for matrices, tensors and multidimensional arrays) are presented together with several applications of linear algebra (k-means clustering, biplots, least square approximations, dimensionality reduction techniques, tensors and multidimensional arrays).The useful reference text includes more than 600 exercises and supplements, many with completed solutions and MATLAB applications.The volume benefits professionals, academics, researchers and graduate students in the fields of pattern recognition/image analysis, AI, machine learning and databases.

Algebra Lineal Y Sus Aplicaciones

Author : David C. Lay
Publisher : Pearson Educación
ISBN 13 : 9789702609063
Total Pages : 586 pages
Book Rating : 4.6/5 (9 download)

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Book Synopsis Algebra Lineal Y Sus Aplicaciones by : David C. Lay

Download or read book Algebra Lineal Y Sus Aplicaciones written by David C. Lay and published by Pearson Educación. This book was released on 2007 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: Índice abreviado: 1. Ecuaciones lineales en álgebra lineal 2. Álgebra de matrices 3. Determinantes 4. Espacios vectoriales 5. Valores propios y vectores propios 6. Ortogonalidad y mínimos cuadrados 7. Matrices simétricas y formas cuadráticas.

Linear Algebra and Analytic Geometry for Physical Sciences

Author : Giovanni Landi
Publisher : Springer
ISBN 13 : 3319783610
Total Pages : 348 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Linear Algebra and Analytic Geometry for Physical Sciences by : Giovanni Landi

Download or read book Linear Algebra and Analytic Geometry for Physical Sciences written by Giovanni Landi and published by Springer. This book was released on 2018-05-12 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained introduction to finite dimensional vector spaces, matrices, systems of linear equations, spectral analysis on euclidean and hermitian spaces, affine euclidean geometry, quadratic forms and conic sections. The mathematical formalism is motivated and introduced by problems from physics, notably mechanics (including celestial) and electro-magnetism, with more than two hundreds examples and solved exercises.Topics include: The group of orthogonal transformations on euclidean spaces, in particular rotations, with Euler angles and angular velocity. The rigid body with its inertia matrix. The unitary group. Lie algebras and exponential map. The Dirac’s bra-ket formalism. Spectral theory for self-adjoint endomorphisms on euclidean and hermitian spaces. The Minkowski spacetime from special relativity and the Maxwell equations. Conic sections with the use of eccentricity and Keplerian motions. An appendix collects basic algebraic notions like group, ring and field; and complex numbers and integers modulo a prime number.The book will be useful to students taking a physics or engineer degree for a basic education as well as for students who wish to be competent in the subject and who may want to pursue a post-graduate qualification.