one variable linear equations (page 1)

Linear Algebra I: Vectors and Linear Equations

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A strong foundation in mathematics is critical for success in all science and engineering disciplines. This course will enable you to review the relevant topics in linear algebra, with a focus on vectors and solving linear equations.

Delft University of Technology

Bart van den Dries, Marleen Keijzer, +1

30h

Linear Algebra I: Linear Equations

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Systems of equations are the heart of linear algebra. This course explores fundamental concepts, definitions, and theorems that provide a basis for this subject. We introduce systems of linear equations and a systematic method for solving them. This algorithm will be used for computations throughout the course as you investigate...

The Georgia Institute of Technology

Greg Mayer

16h

Become a Differential Equations Master

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Become a Differential Equations Master with this comprehensive course. It includes workbooks with practice problems to test understanding. The course covers first order equations (linear, separable, Bernoulli), second order equations (homogeneous, nonhomogeneous), modeling with differential equations, series solutions, Laplace transforms...

Krista King

23h

Calculus: Single Variable Part 1 - Functions

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Calculus, a cornerstone of science, explains phenomena from planetary orbits to city sizes. This course covers single-variable Calculus, emphasizing concepts and applications. It introduces Taylor series, synthesizes discrete and continuous Calculus, and focuses on conceptual understanding.

University of Pennsylvania

Robert Ghrist

14h

Books about Calculus

Book cover for Calculus: A Complete Introduction

Book cover for Partial Differential Equations

Book cover for Schaum's Outline of Calculus

Book cover for Calculus DeMYSTiFieD, Second Edition

Calculus: Single Variable Part 2 - Differentiation

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Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students...

University of Pennsylvania

Robert Ghrist

Mathematics for Machine Learning: Linear Algebra

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In this course on Linear Algebra, we examine its relationship to vectors and matrices. We explore vectors and matrices, including eigenvalues and eigenvectors, and their applications in data-driven scenarios. We implement these concepts in code, using Python and Jupyter notebooks. By the end, you'll have an intuitive understanding of...

Imperial College London

David Dye, Samuel J. Cooper, +1

18h

Linear Regression and Modeling

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This course introduces simple and multiple linear regression models. These models let you assess relationships between variables in a data set and a continuous response variable. Using the free statistical software R and RStudio, you will learn to fit, examine, and utilize regression models to examine relationships between multiple...

Duke University

Mine Çetinkaya-Rundel

10h

Calculus: Single Variable Part 4 - Applications

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Calculus, one of the grandest achievements of human thought, explains everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning...

University of Pennsylvania

Robert Ghrist

17h

Books about Vectors

Book cover for Mathematical Methods for Physicists

Book cover for Vector Mechanics for Engineers

Book cover for Multivariable Calculus with Applications

Book cover for Vectors in Physics and Engineering

Book cover for Vectors, Tensors and the Basic Equations of Fluid Mechanics

Deep Learning Prerequisites: Linear Regression in Python

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Ever wondered how AI technologies like OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion really work? This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression.

Lazy Programmer Inc.

Become a Linear Algebra Master

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Become a Linear Algebra Master covers operations on matrices, matrices as vectors, dot products and cross products, matrix-vector products, transformations, inverses, determinants, transposes, orthogonality and change of basis, orthonormal bases and Gram-Schmidt, and eigenvalues and eigenvectors.

15h

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