Download or read book Linear Algebra for Beginners Open Doors to Great Careers written by Richard Han and published by Linear Algebra for Beginners. This book was released on 2018-10-16 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: From machine learning and data science to engineering and finance, linear algebra is an important prerequisite for the careers of today and of the future. There aren't many resources out there that give simple detailed examples and that walk you through the topics step by step. Many resources out there are either too dry or too difficult. This book aims to teach linear algebra step-by-step with examples that are simple but concrete.
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: A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Download or read book Math for Machine Learning written by Richard Han and published by . This book was released on 2018-07-12 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the math behind machine learning using simple but concrete examples. This book will get you started in machine learning in a smooth and natural way, preparing you for more advanced topics and dispelling the belief that machine learning is complicated, difficult, and intimidating.
Download or read book The Linear Algebra a Beginning Graduate Student Ought to Know written by Jonathan S. Golan and published by Springer Science & Business Media. This book was released on 2007-04-05 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book rigorously deals with the abstract theory and, at the same time, devotes considerable space to the numerical and computational aspects of linear algebra. It features a large number of thumbnail portraits of researchers who have contributed to the development of linear algebra as we know it today and also includes over 1,000 exercises, many of which are very challenging. The book can be used as a self-study guide; a textbook for a course in advanced linear algebra, either at the upper-class undergraduate level or at the first-year graduate level; or as a reference book.
Download or read book Application Inspired Linear Algebra written by Heather A. Moon and published by Springer Nature. This book was released on 2022-05-20 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook invites students to discover abstract ideas in linear algebra within the context of applications. Diffusion welding and radiography, the two central applications, are introduced early on and used throughout to frame the practical uses of important linear algebra concepts. Students will learn these methods through explorations, which involve making conjectures and answering open-ended questions. By approaching the subject in this way, new avenues for learning the material emerge: For example, vector spaces are introduced early as the appropriate setting for the applied problems covered; and an alternative, determinant-free method for computing eigenvalues is also illustrated. In addition to the two main applications, the authors also describe possible pathways to other applications, which fall into three main areas: Data and image analysis (including machine learning); dynamical modeling; and optimization and optimal design. Several appendices are included as well, one of which offers an insightful walkthrough of proof techniques. Instructors will also find an outline for how to use the book in a course. Additional resources can be accessed on the authors’ website, including code, data sets, and other helpful material. Application-Inspired Linear Algebra will motivate and immerse undergraduate students taking a first course in linear algebra, and will provide instructors with an indispensable, application-first approach.
Download or read book Basic Linear Algebra written by T.S. Blyth and published by Springer Science & Business Media. This book was released on 2002-06-26 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic Linear Algebra is a text for first year students leading from concrete examples to abstract theorems, via tutorial-type exercises. More exercises (of the kind a student may expect in examination papers) are grouped at the end of each section. The book covers the most important basics of any first course on linear algebra, explaining the algebra of matrices with applications to analytic geometry, systems of linear equations, difference equations and complex numbers. Linear equations are treated via Hermite normal forms which provides a successful and concrete explanation of the notion of linear independence. Another important highlight is the connection between linear mappings and matrices leading to the change of basis theorem which opens the door to the notion of similarity. This new and revised edition features additional exercises and coverage of Cramer's rule (omitted from the first edition). However, it is the new, extra chapter on computer assistance that will be of particular interest to readers: this will take the form of a tutorial on the use of the "LinearAlgebra" package in MAPLE 7 and will deal with all the aspects of linear algebra developed within the book.
Download or read book Linear Algebra written by Eric Carlen and published by Macmillan. This book was released on 2006-12-15 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Student Solutions Manual supports students in their independent study and review efforts, using it alongside the main text Linear Algebra by Carlen.
Download or read book Introduction to Linear Algebra with Applications written by Jim DeFranza and published by Waveland Press. This book was released on 2015-01-23 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last few decades, linear algebra has become more relevant than ever. Applications have increased not only in quantity but also in diversity, with linear systems being used to solve problems in chemistry, engineering, economics, nutrition, urban planning, and more. DeFranza and Gagliardi introduce students to the topic in a clear, engaging, and easy-to-follow manner. Topics are developed fully before moving on to the next through a series of natural connections. The result is a solid introduction to linear algebra for undergraduates’ first course.
Download or read book Introductory Linear Algebra with Applications written by John Wesley Brown and published by Prindle Weber & Schmidt. This book was released on 1984 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Linear Algebra written by Rita Fioresi and published by CRC Press. This book was released on 2021-09-02 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear algebra provides the essential mathematical tools to tackle all the problems in Science. Introduction to Linear Algebra is primarily aimed at students in applied fields (e.g. Computer Science and Engineering), providing them with a concrete, rigorous approach to face and solve various types of problems for the applications of their interest. This book offers a straightforward introduction to linear algebra that requires a minimal mathematical background to read and engage with. Features Presented in a brief, informative and engaging style Suitable for a wide broad range of undergraduates Contains many worked examples and exercises
Download or read book An Introduction to Linear Algebra written by Ravi P. Agarwal and published by CRC Press. This book was released on 2017-08-07 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: The techniques of linear algebra are used extensively across the applied sciences, and in many different areas of algebra such as group theory, module theory, representation theory, ring theory, and Galois theory. Written by experienced researchers with a decades of teaching experience, Introduction to Linear Algebra is a clear and rigorous introductory text on this key topic for students of both applied sciences and pure mathematics.
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Download or read book Linear Algebra written by Larry E. Knop and published by CRC Press. This book was released on 2008-08-28 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear Algebra: A First Course with Applications explores the fundamental ideas of linear algebra, including vector spaces, subspaces, basis, span, linear independence, linear transformation, eigenvalues, and eigenvectors, as well as a variety of applications, from inventories to graphics to Google's PageRank. Unlike other texts on the subject, thi
Download or read book An Introduction to Linear Algebra with Applications written by Steven Roman and published by Harcourt Brace College Publishers. This book was released on 1988 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Linear Algebra with Computer Applications written by Ronald I. Rothenberg and published by John Wiley & Sons. This book was released on 1983 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Linear & Matrix Algebra Needed to Pursue a Career in Computer Science, Engineering, or Statistics. Also Helps Home Computer Users Who Want to Sharpen Their Skills
Download or read book A First Course in Linear Algebra written by A. G. Hamilton and published by CUP Archive. This book was released on 1987-09-03 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a short, readable introduction to basic linear algebra, as usually encountered in a first course. The development of the subject is integrated with a large number of worked examples that illustrate the ideas and methods. The format of the book, with text and relevant examples on facing pages means that the reader can follow the text uninterrupted. The student should be able to work through the book and learn from it sequentially. Stress is placed on applications of the methods rather than on developing a logical system of theorems. Numerous exercises are provided.
Download or read book A Terse Introduction to Linear Algebra written by Yitzhak Katznelson and published by American Mathematical Soc.. This book was released on 2008 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear algebra is the study of vector spaces and the linear maps between them. It underlies much of modern mathematics and is widely used in applications.
