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Math for AI beginner part 1 Linear Algebra
  • Level Foundation
  • Duration 7 hours
  • Course by Korea Advanced Institute of Science and Technology(KAIST)
  • Offered by

About

Learn concept of AI such as machine learning, deep-learning, support vector machine which is related to linear algebra - Learn how to use linear algebra for AI algorithm. - After completing this course, you are able to understand AI algorithm and basics of linear algebra for AI applications.

Modules

Week 1

    • 5 Videos
Show info about module content

5 Videos

  • 1-1 What is AI?
  • 1-2 Why AI comes recently?
  • 1-3
  • 1-4
  • 1-5

Week 2

    • 4 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • New Quiz

4 Videos

  • 2-1
  • 2-2
  • 2-3
  • 2-4

Week 3

    • 4 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • New Quiz

4 Videos

  • 3-1 Consistent System
  • 3-2
  • 3-3
  • 3-4

Week 4

    • 3 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • New Quiz

3 Videos

  • 4-1
  • 4-2
  • 4-3

Week 5

    • 4 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • New Quiz

4 Videos

  • 5-1
  • 5-2
  • 5-3
  • 5-4

Week 6

    • 3 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • New Quiz

3 Videos

  • 6-1
  • 6-2
  • 6-3

Auto Summary

"Math for AI Beginner Part 1: Linear Algebra" offers foundational knowledge in linear algebra crucial for understanding AI concepts like machine learning and deep learning. This 420-minute course by Coursera is designed for beginners and provides insights into using linear algebra for AI algorithms. Available with Starter and Professional subscriptions, it's ideal for those looking to grasp the basics of AI applications.

Yoon Yong Jin
Instructor

Yoon Yong Jin