Search result for Linear algebra full course Online Courses & Certifications
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Matrix Algebra for Engineers
by Jeffrey R. Chasnov- 4.8
Approx. 20 hours to complete
This course is all about matrices, and concisely covers the linear algebra that an engineer should know. The mathematics in this course is presented at the level of an advanced high school student, but typically students should take this course after completing a university-level single variable calculus course. Determinant is a Linear Function of Any Row...
College Algebra and Problem Solving
by Adrian Sannier , Sue McClure- 0.0
15 Weeks
Learn the basics of Algebra while preparing for future courses in Calculus through this credit-eligible college level math course. This course is part of Global Freshman Academy (GFA), which means you can earn transferable ASU credit toward your college degree. In this college level Algebra course, you will learn to apply algebraic reasoning to solve problems effectively....
$49
Applications of Linear Algebra Part 2
by Allison Dulin , Kristen Eshleman , Robert McSwain , Sara Swanson- 0.0
4 Weeks
Explore applications of linear algebra in the field of data mining by learning fundamentals of search engines, clustering movies into genres and of computer graphics by posterizing an image. Linear algebra is a tool to manage and analyze such data. In this part of the course, we'll develop the linear algebra more fully than part 1....
$25
PCA & multivariate signal processing, applied to neural data
by Mike X Cohen- 4.7
10 hours on-demand video
Because data are stored in matrices, algorithms developed in linear algebra are extremely useful. You should take this course if you are a. independent learner who wants to advance your linear algebra knowledge. I worked hard to make this course accessible to anyone with at least minimal linear algebra and programming background....
$11.99
Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
Approx. 34 hours to complete
The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. 2) Basic linear algebra and probability....
Mathematics for Machine Learning: PCA
by Marc Peter Deisenroth- 4
Approx. 18 hours to complete
This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. Good background in linear algebra (e. , matrix and vector algebra, linear independence, basis) Disclaimer: This course is substantially more abstract and requires more programming than the other two courses of the specialization....
Machine Learning 2020: Complete Maths for Machine Learning
by Jitesh Khurkhuriya- 4.1
2.5 hours on-demand video
Learn Math for Machine Learning, Math for Data Science, Linear Algebra, Calculus, Vectors & Matrices, Probability & more This course of Math For Machine Learning, aims to bridge that gap. This course is divided into following sections, Algebra Foundations Linear Algebra Linear Algebra is the mathematics of the 21st Century....
$11.99
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Modern Deep Convolutional Neural Networks with PyTorch
by Denis Volkhonskiy- 4.2
2 hours on-demand video
Dear friend, welcome to the course "Modern Deep Convolutional Neural Networks"! I tried to do my best in order to share my practical experience in Deep Learning and Computer vision with you. 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...
$11.99
VLSI CAD Part II: Layout
by Rob A. Rutenbar- 4.8
Approx. 24 hours to complete
You should complete the VLSI CAD Part I: Logic course before beginning this course. Linear algebra and calculus at the level of a junior or senior in engineering. Elementary knowledge of RC linear circuits (at the level of an introductory physics class). Tools For This Course End of Course Survey...
Linear Algebra III: Determinants and Eigenvalues
by Greg Mayer- 0.0
3 Weeks
This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. The goal of this part of the course is to decompose the action of a linear transformation that may be visualized. Use eigenvalues to determine identify the rotation and dilation of a linear transform...
$199