linear algebra crash course

 Recently in the implementation of the algorithm, the feeling of lack of knowledge of mathematics, here-------------------------------------------------- calculus --------------------------------------------- -------------Calculus Open Class:mit: univariate calculushttp://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/Http://v.163.com/special/sp/singlevariablecalculus.htmlmit: Many variable CalculusHttp://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculu

Mastering linear algebra in 10 days: astoundin Translator: mapleflying Recently, my friend Scott Young made an amazing feat: within a year, he completed all 33 of the legendary mit computer science curriculum, from Linear Algebra to Computational Theory. The most important thing is that he is self-taught. He watches

Mastering linear algebra in 10 days: astoundin Translator: mapleflying Recently, my friend Scott Young made an amazing feat: within a year, he completed all 33 of the legendary mit computer science curriculum, from Linear Algebra to Computational Theory. The most important thing is that he is self-taught. He watches

Make a mark and have time to summarize the knowledge of the linear algebra obtained in the 10-day course to finish a book.1. Determinant: The value can be evaluated2, Matrix: There is a corresponding determinant, the matrix itself can not calculate a value, but can be by the equivalent determinant of the value of the matrix and the adjoint matrix, whether reversi

of the lectures Started by this teacher are very good, because our linear algebra textbooks are similar. They all start from the determinant, followed by the matrix followed by the vector, I didn't quite understand the arrangement of books before, but now I am wearing it all at once: Linear Algebra is used as a too

simplification 5.2 learn faster strategies 5.3 study, even if you are not a student 1 Article: Challenge mit Computer Courses Recently, my friend Scott Young made an amazing feat: within a year, he completed all 33 of the legendary mit computer science curriculum, from Linear Algebra to Computational Theory. The most important thing is that he is self-taught. He watches online tutorial lectures and uses ac

algebra review, I'll be the using one index vectors. Most vector subscripts in the course start from 1.When talking on machine learning applications, sometimes explicitly say if we need to switch to, when we need to use The zero index vectors as well. Discussion of machine learning applications will be converted to subscript starting from 0.Finally, by Convention,use upper case to refer to matrices. So we

assume that the line expression is as follows:Then calculate the error function:The error function e is obtained by the deviation of the coefficient, a, a, and the 0:The value of the coefficients, a, a, a, and a linear expression is obtained by the above formula:The curves obtained by the least squares are as follows:Linear algebraic approach to least squares: Similarly, the expression of a fitted line is set to:The purpose of fitting is to make the

The MIT Challenge My friend Scott Young recently finished a astounding Feat:he completed all the courses in MIT's fabled computer science C Urriculum, from Linear Algebra to Theory of computation, in less than one year. More importantly, he does it all in his own, watching the lectures online and evaluating himself using the actual exams. (see Scott's FAQ page for the details about how he ran this challenge