Complete linear algebra: theory and implementation a training course from the website Udemy is that the concepts of linear algebra and analysis matrix explains it and how to use it in Matlab and Python will teach you The gives. Linear algebra is one of the most important branches of mathematics in the sciences, computing, such as machine learning, intelligence, artificial, science, data, statistics, simulation and … computer graphics, and the decomposition matrix is. Explain linear algebra in textbooks with methods specialists use it in the computer and solve the programs differ a lot, and this course tries to provide you with this methods, familiar with the application does.
If you plan mathematical concepts, linear algebra and analysis matrix to well learn and also how to run it in the computer for data analysis, familiar, then this course help a lot to you will. In this period you with the concepts of the theory of linear algebra dating find, etc. visualize the storage graph and numbers you learn the methods to use linear algebra in Matlab and Python can learn from it to solve issues, computer use, etc. with vectors and multiplying matrices are familiar, and other aspects of برنامهمحور linear algebra will also come to decide.
Cases in which the course is taught:
- Understand the concepts of the theory of linear algebra
- Use the topics on linear algebra in programming languages, scientific like Matlab and Python
- Success in exams linear algebra
- Familiarity with the analysis matrix
- The use of linear algebra in solving, programs, and issues computer
- Understand the most important infrastructure, machine learning
Profile, course, Complete, linear algebra: theory and implementation
- Language : English
- Duration Time : 32h 51m
- Number of courses: 180
- Training level : Intermediate
- Instructor : Mike X Cohen
- File format : mp4
- Basic understanding of high-school algebra (e.g., solve for x in 2x=5)
- Interest in learning about matrices and vectors!
- (optional) Computer with MATLAB, Octave, or Python (or Jupyter)
After the Extract with the Player your custom view.
Version 2019/7 compared to 2019/1 about 1.5 GB, it increased.
Version 2020/8 compared to 2019/7 at least 5 lessons and 8 hours increased.
Password file(s): www.downloadly.ir