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10/14/2020
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Complete linear algebra: theory and implementation is a course on the Udemy website that explains the concepts of linear algebra and matrix analysis and teaches you how to use them in MATLAB and Python. Linear algebra is one of the most important branches of mathematics in computational sciences such as machine learning, artificial intelligence, data science, statistics, simulation, computer graphics, and matrix analysis. Explaining linear algebra in textbooks is very different from the way experts use it in computers and solving programs, and this course tries to acquaint you with these practical methods.
If you want to learn the mathematical concepts of linear algebra and matrix analysis well, as well as how to run them on a computer to analyze data, then this course will help you a lot. In this course you will learn the concepts of linear algebra theory, learn graph and number visualization, learn how to use linear algebra in MATLAB and Python, and use it to solve computer problems with vectors. And you get to know matrix multiplication, and you learn other aspects of the linear algebra program.
Understand the concepts of linear algebra theory
Use of linear algebra topics in scientific programming languages such as MATLAB and Python
Success in linear algebra exams
Familiarity with matrix analysis
Use linear algebra to solve computer programs and problems
Understand the most important machine learning infrastructures
English language
Duration: 32h 51m
Number of lessons: 180
Level of education: 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 Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Changes:
The 2019/7 version has increased by about 1.5 GB compared to the 2019/1.
Version 2020/8 has increased by at least 5 lessons and 8 hours compared to 2019/7.
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