Search result for Introduction of linear algebra pdf Online Courses & Certifications
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First Steps in Linear Algebra for Machine Learning
by Dmitri Piontkovski , Vsevolod L. Chernyshev- 4.1
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Approx. 21 hours to complete
The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student’s practical skills of using linear algebra methods in machine learning and data analysis. Introduction to Linear Algebra Linear Algebra and Calculus...
Mathematics for Machine Learning: Linear Algebra
by David Dye , Samuel J. Cooper , A. Freddie Page- 4.7
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Approx. 19 hours to complete
At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning. Introduction to Linear Algebra and to Mathematics for Machine Learning Wrap up of this linear algebra course...
Introduction to Linear Models and Matrix Algebra
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory online course in data analysis, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. 2x: Introduction to Linear Models and Matrix Algebra...
$149
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
In most cases, the ultimate goal of a machine learning project is to produce a model. Build Linear Regression Models Using Linear Algebra Build Linear Regression Models Using Linear Algebra Module Introduction Guidelines for Building a Regression Model Using Linear Algebra Building Linear Regression Models Using Linear Algebra Build Regularized and Iterative Linear Regression Models Module Introduction...
Advanced Linear Models for Data Science 2: Statistical Linear Models
by Brian Caffo, PhD- 4.6
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Approx. 6 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. - A basic understanding of linear algebra and multivariate calculus. After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling....
Advanced Linear Models for Data Science 1: Least Squares
by Brian Caffo, PhD- 4.4
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Approx. 8 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. - A basic understanding of linear algebra and multivariate calculus. After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling....
Ordinary Differential Equations and Linear Algebra - Part 1
by Betul Orcan-Ekmekci- 0.0
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7 Weeks
Study of ordinary differential equations (e. , solutions to separable and linear first-order equations and to higher-order linear equations with constant coefficients, systems of linear differential equations, the properties of solutions to differential equations) and linear algebra (e. Linear Algebra: Matrix Algebra Solving systems of linear equations by using Gauss Jordan Elimination...
$169
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Algebra 2 & Trigonometry: A Complete High School Curriculum
by Matthew Gromlich- 4.6
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16 hours on-demand video
It incorporates all aspects of a traditional Algebra 2 course and also includes two units on basic trigonometry. Introduction to MatricesTransformations of MatricesDeterminants and Inverse Matrices Absolute Value and InequalitiesIntroduction to FunctionsLinear FunctionsSystems of Equations and InequalitiesPolynomialsDividing and Factoring PolynomialsRadical ExpressionsQuadratic FunctionsSpecial FunctionsLogarithmsPolynomial FunctionsTrigonometric FunctionsThe Unit Circle and Angle MeasuresCombinatorics Use test points to find boundaries of linear inequalities...
$15.99
Introduction to numerical analysis
by Evgeni Burovski- 4.7
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Approx. 18 hours to complete
As prerequisites for this course, we assume a basic command of college-level mathematics (linear algebra and calculus, mostly), and a basic level of programming proficiency. Systems of linear algebraic equations. Systems of linear equations. Sensitivity of a linear system. Sensitivity of a linear system. Large-scale systems of linear equations. Zero-stability of linear multistep methods....
Modern Deep Convolutional Neural Networks with PyTorch
by Denis Volkhonskiy- 4.2
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2 hours on-demand video
The course consists of 4 blocks: Introduction section, where I remind you, what is Linear layers, SGD, and how to train Deep Networks. Matrix calculus, Linear Algebra, Probability theory and Statistics Basics of Machine Learning: Regularization, Linear Regression and Classification, Basics of Deep Learning: Linear layers, SGD, Multi-layer perceptron Python, Basics of PyTorch...
$11.99
