No Bullshit Guide to Linear Algebra

No Bullshit Guide to Linear Algebra

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  • Author: Ivan Savov
  • Publisher:
  • ISBN: 9780992001025
  • Category : MATHEMATICS
  • Languages : en
  • Pages : 596

This textbook covers the material for an undergraduate linear algebra course: vectors, matrices, linear transformations, computational techniques, geometric constructions, and theoretical foundations. The explanations are given in an informal conversational tone. The book also contains 100+ problems and exercises with answers and solutions. A special feature of this textbook is the prerequisites chapter that covers topics from high school math, which are necessary for learning linear algebra. The presence of this chapter makes the book suitable for beginners and the general audience-readers need not be math experts to read this book. Another unique aspect of the book are the applications chapters (Ch 7, 8, and 9) that discuss applications of linear algebra to engineering, computer science, economics, chemistry, machine learning, and even quantum mechanics.


No bullshit guide to math and physics

No bullshit guide to math and physics

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  • Author: Ivan Savov
  • Publisher: Minireference Co.
  • ISBN: 0992001005
  • Category : Mathematics
  • Languages : en
  • Pages : 137

Often calculus and mechanics are taught as separate subjects. It shouldn't be like that. Learning calculus without mechanics is incredibly boring. Learning mechanics without calculus is missing the point. This textbook integrates both subjects and highlights the profound connections between them. This is the deal. Give me 350 pages of your attention, and I'll teach you everything you need to know about functions, limits, derivatives, integrals, vectors, forces, and accelerations. This book is the only math book you'll need for the first semester of undergraduate studies in science. With concise, jargon-free lessons on topics in math and physics, each section covers one concept at the level required for a first-year university course. Anyone can pick up this book and become proficient in calculus and mechanics, regardless of their mathematical background.


Basics of Linear Algebra for Machine Learning

Basics of Linear Algebra for Machine Learning

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  • Author: Jason Brownlee
  • Publisher: Machine Learning Mastery
  • ISBN:
  • Category : Computers
  • Languages : en
  • Pages : 211

Linear algebra is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it. In this laser-focused Ebook, you will finally cut through the equations, Greek letters, and confusion, and discover the topics in linear algebra that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover what linear algebra is, the importance of linear algebra to machine learning, vector, and matrix operations, matrix factorization, principal component analysis, and much more.


No Bullshit Guide to Math and Physics

No Bullshit Guide to Math and Physics

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  • Author: Savov
  • Publisher: Student Study Guides
  • ISBN: 9781643542065
  • Category :
  • Languages : en
  • Pages : 330

Often Physics and Mathematics are taught as separate subjects. Learning Physics without Mathematics first is incredibly difficult. Learning Physics without Mathematics is missing the point. This textbook integrates both subjects and highlights the profound connections between them.


Introduction to Modeling and Numerical Methods for Biomedical and Chemical Engineers

Introduction to Modeling and Numerical Methods for Biomedical and Chemical Engineers

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  • Author: Edward Gatzke
  • Publisher: Springer Nature
  • ISBN: 3030764494
  • Category : Biomedical engineering
  • Languages : en
  • Pages : 292

This textbook introduces the concepts and tools that biomedical and chemical engineering students need to know in order to translate engineering problems into a numerical representation using scientific fundamentals. Modeling concepts focus on problems that are directly related to biomedical and chemical engineering. A variety of computational tools are presented, including MATLAB, Excel, Mathcad, and COMSOL, and a brief introduction to each tool is accompanied by multiple computer lab experiences. The numerical methods covered are basic linear algebra and basic statistics, and traditional methods like Newton's method, Euler Integration, and trapezoidal integration. The book presents the reader with numerous examples and worked problems, and practice problems are included at the end of each chapter. Focuses on problems and methods unique to biomedical and chemical engineering; Presents modeling concepts drawn from chemical, mechanical, and materials engineering; Ancillary materials include lecture notes and slides and online videos that enable a flipped classroom or individual study.


Statistical Thinking

Statistical Thinking

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  • Author: Russell Poldrack
  • Publisher: Princeton University Press
  • ISBN: 0691250936
  • Category : Psychology
  • Languages : en
  • Pages : 280

"An introductory-level statistics textbook for psychology students"--


Proceedings of the 15th International Conference on Axiomatic Design 2023

Proceedings of the 15th International Conference on Axiomatic Design 2023

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  • Author: Erik Puik
  • Publisher: Springer Nature
  • ISBN: 3031499204
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 313

This book of carefully selected research papers captures the essence of systems engineering. It offers readers a comprehensive exploration in the most recent applications and advancements of Axiomatic Design, a powerful method that elevates the level of product design and manufacturing. Although Axiomatic Design originated at the Massachusetts Institute of Technology (MIT) in Boston, it has been further developed by an active community of users and academics from all over the world. For the 15th time, the International Conference on Axiomatic Design convened global experts to discuss the core of the methodology. Their shared objective was to advance systems engineering, catering to the increasing complexity of modern product design. From over 85 submissions, the program committee selected 20 papers to ensure quality and relevance. Our profound gratitude extends to the contributing authors, whose research and dedication have shaped this collection, and to the program committee members for their unwavering commitment to academic integrity. Through their combined efforts, this document stands as a testament to the innovative spirit and academic excellence synonymous with systems engineering as developed by MIT.


Guide to Linear Algebra

Guide to Linear Algebra

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  • Author: David A. Towers
  • Publisher: CRC PressI Llc
  • ISBN: 9780849377020
  • Category : Mathematics
  • Languages : en
  • Pages : 210


A Guide to Advanced Linear Algebra

A Guide to Advanced Linear Algebra

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  • Author: Steven H. Weintraub
  • Publisher: American Mathematical Soc.
  • ISBN: 088385967X
  • Category : Mathematics
  • Languages : en
  • Pages : 251

"This book provides a rigorous and thorough development of linear algebra at an advanced level, and is directed at graduate students and professional mathematicians. It approaches linear algebra from an algebraic point of view, but its selection of topics is governed not only for their importance in linear algebra itself, but also for their applications throughout mathematics."--Cover p. [4].


Study Guide for Linear Algebra and Its Applications

Study Guide for Linear Algebra and Its Applications

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  • Author: DAVID C. LAY
  • Publisher: Pearson
  • ISBN: 9780135851234
  • Category :
  • Languages : en
  • Pages : 0