返回到 First Steps in Linear Algebra for Machine Learning
学生对 国立高等经济大学 提供的 First Steps in Linear Algebra for Machine Learning 的评价和反馈
9 个评分
课程概述
The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student’s practical skills of using linear algebra methods in machine learning and data analysis. You will learn the fundamentals of working with data in vector and matrix form, acquire skills for solving systems of linear algebraic equations and finding the basic matrix decompositions and general understanding of their applicability.
This course is suitable for you if you are not an absolute beginner in Matrix Analysis or Linear Algebra (for example, have studied it a long time ago, but now want to take the first steps in the direction of those aspects of Linear Algebra that are used in Machine Learning). Certainly, if you are highly motivated in study of Linear Algebra for Data Sciences this course could be suitable for you as well.
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1 - First Steps in Linear Algebra for Machine Learning 的 3 个评论（共 3 个）
创建者 Xingxing T
•Apr 09, 2020
The program is really useful for exploring machine learning. I appreciate that the math involved are so relevant to SVM, even though I am BA major and do not have strong math background. I just need put enough time and go through each example. That's where I find this course very suitable. Plenty examples to explain the concepts.
创建者 Daniel H C
•Mar 01, 2020
The material was very well presented, and the exercises were helpful for learning
创建者 Roger S
•Feb 26, 2020
Very conventional and theoretical way of presenting the stuff. There are some Python exercises, though.
Not much course materials.
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