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Linear Algebra for Machine Learning, AI, and Data Science

Linear Algebra for Machine Learning, AI, and Data Science

Master Applied Linear Algebra: Essential Math for AI, Machine Learning, Data Science, and Real-World Applications!
Created byMath Reddy
Last updated 3/2025
English

What you'll learn

  • Linear Algebra

Course content

3 sections18 lectures36m total length
  • 30-Day Money-Back Guarantee and 3 more benefits1:04
  • What is Linear Algebra?0:25
  • What is Linear Algebra?1:00
  • What is Data Science ?2:09
  • Linear Algebra in Data Science0:17
  • Linear Algebra: Powering Machine Learning0:24
  • Download 30 Essential Formulas and Definitions in Linear Algebra
  • Linear equation - solved problem4:11
  • Applications in Data Science, Machine learning and AI

Requirements

  • Algebra

Description

Dear Students,

This course comes with a 30-day money-back guarantee! If you are not satisfied in any way, you'll get your money back. Plus, you will keep access to the Notebooks as a thank you for trying out the course.

Linear Algebra is a very important topic for all college and university math students. There are no crash courses on Linear Algebra, so I decided to publish this course.

Unlock the power of Complete Linear Algebra and master the foundational math that drives Machine Learning, Artificial Intelligence, and Data Science. This comprehensive course is designed for beginners and professionals alike, equipping you with the essential skills needed to excel in today's data-driven world.

Are you struggling with Linear Algebra?

Or do you want good knowledge and a strong score in Linear Algebra?

Then this course is for you from Beginner to Expert.

This course covers very important topics like:

  • What is linear algebra?

  • What is the rank of a matrix?

  • What is a characteristic polynomial?

  • How to find the characteristic polynomial?

  • What is a characteristic equation?

  • How to find the characteristic equation?

  • How to take the order of the identity matrix to find the characteristic polynomial and characteristic equation of the matrices?

Mathematics is simply a language. In school, we cover Algebra, Trigonometry, Geometry, and Precalculus. In college, we cover Algebra 2, College Algebra, Probability, Statistics, and Calculus. University math topics include Abstract Algebra, Linear Algebra, Discrete Mathematics, Number Theory, Real Analysis, Complex Analysis, Functional Analysis, and Matlab. In test prep, SAT, ACT, GRE, GMAT, and LSAT include a Quantitative Aptitude section. Applications of math span Engineering, Physics, Science, and Computer Science, including Games Development, Programming, Machine Learning, and Data Science.

You have a 30-day money-back guarantee here.

Udemy is a great platform to learn.

Watch and learn. I hope you will enjoy this Linear Algebra course.

You'll Also Get:

  • Lifetime Access to course updates

  • Fast and Friendly Support in the Q&A section

  • Udemy Certificate of Completion Ready for Download

Have a nice day.

All the best,

Thank you,

Kishore Reddy

Who this course is for:

  • College Students
  • University Students