Mathematics for Machine Learning: Linear Algebra
This course is part of Mathematics for Machine Learning.
Course Cost
Free course
Beginner
Skill Level
16 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Mathematics for Machine Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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3,91,944 Enrolled

English
What you'll learn
Understand and manipulate vectors and matrices in linear algebra
Master eigenvalues and eigenvectors calculation and applications
Implement linear transformations and basis changes
Apply linear algebra concepts to real-world data problems
Develop practical coding skills for mathematical operations
Skills you'll gain
This course includes:
3.7 Hours PreRecorded video
15 quizzes, 4 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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There are 5 modules in this course
This comprehensive course explores linear algebra fundamentals essential for machine learning applications. Students learn about vectors, matrices, eigenvalues, and eigenvectors through practical examples and hands-on programming exercises. The curriculum progresses from basic vector operations to advanced concepts like the PageRank algorithm, combining theoretical understanding with practical implementation in Python. Special emphasis is placed on developing mathematical intuition rather than just computational skills.
Introduction to Linear Algebra and to Mathematics for Machine Learning
Module 1 · 2 Hours to complete
Vectors are objects that move around space
Module 2 · 1 Hours to complete
Matrices in Linear Algebra: Objects that operate on Vectors
Module 3 · 3 Hours to complete
Matrices make linear mappings
Module 4 · 6 Hours to complete
Eigenvalues and Eigenvectors: Application to Data Problems
Module 5 · 4 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Mathematics for Machine Learning
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
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