coursera linear algebra

Linear Algebra is a major branch of Higher Algebra. We know that a single equation is called a linear equation, and the algebra for discussing Linear Equations and linear operations is

Here's just a fraction of what the can do with linear algebraThe next time someone wonders what's the point of linear algebra are, send them here. I write a blog on math and programming and I see linear algebra applied to computer science all the time. Here's a short list th

Linear algebra is the basis of machine learning, as early as six months ago we have developed linear algebra learning, of course, for machine learning, linear algebra is not to achieve the degree of mastery can be, more of the con

different lambda, the calculated training error and cross-validation error are as follows:Lambda Train error Validation error 0.000000 0.173616 22.066602 0.001000 0.156653 18.597638 0.003000 0.190298 19.981503 0.010000 0.221975 16.969087 0.030000 0.281852 12.829003 0.100000 0.459318 7.587013 0.300000 0.921760 1.000000 2.076188 4.260625 3.000000 4.901351 3.822907 10.000000 16.092213 9.945508The graphic is represented as follows:As

, i.e., all of our training examples lie perfectly on some straigh T line. If J (θ0,θ1) =0, that means the line defined by the equation "y=θ0+θ1x" perfectly fits all of our data. For the To is true, we must has Y (i) =0 for every value of i=1,2,..., m. So long as any of our training examples lie on a straight line, we'll be able to findθ0 andθ1 so, J (θ0,θ1) =0. It is not a necessary that Y (i) =0 for all of our examples. We can perfectly predict the value o

use of MATLAB. *.4.gradientdescent.mfunction [Theta, j_history] =gradientdescent (X, y, theta, Alpha, num_iters)%gradientdescent performs gradient descent to learn theta% theta = gradientdescent (X, y, theta, Alpha, num_iters) up Dates theta by% taking num_iters gradient steps with learning rate alpha% Initialize Some useful valuesm= Length (y);%Number of training examplesj_history= Zeros (Num_iters,1); forITER =1: Num_iters% ====================== YOUR CODE here ======================% instru

Original address Mathematics is the foundation of computer technology, linear algebra is the basis of machine learning and deep learning, the best way to understand the knowledge of the data I think is to understand the concept, mathematics is not only used for exams in school, but also the essential basic knowledge of the work, in fact, there are many interesting math classes in the school There are many e

of "description".For a linear transformation, as long as you select a set of bases, you can find a matrix to describe the linear transformation. To change a group of bases, you get a different matrix. All of these matrices are a description of the same linear transformation, but they are not linear transformations the

This paper is Gilbert Strang's introductory course note on linear algebra. Course Address: http://v.163.com/special/opencourse/daishu.html 24th class: Markov Matrix, Fourier seriesThis lecture explains the application of eigenvalue, Markov matrix theory, Fourier series (it is the ingenious application of projection matrix) Markov matricesSatisfies two properties: 1) All elements are greater than or equal

For professional software such as engineering and graphics, a large amount of mathematical computation is required, and linear algebra is the most used. So, on top of. net, especially on. NET 4.0 and vs2010, how can we complete Related Linear Algebra computing? I want to use the following methods: I. self-built and

The core of Linear Algebra: Vector Model Is linear algebra an objective natural law or a human design? The commonality of all programming languages is that a set of models are established, a set of syntaxes are defined, and each syntax is mapped to specific semantics. Compliance between programmers and language impleme

The microblog, touched a pile of treasure: about the linear algebra study of the article. First found Chen (Http://weibo.com/acumon), former senior engineer Baidu, lifelong learners. Then find the "Renaissance" (Http://weibo.com/weidagang). This is the man's clue. The clue of the article, first saw the "linear algebra