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Linear Algebra for Machine Learning and Data Science
This course is part of Mathematics for Machine Learning and Data Science Specialization
Free
This Course Includes
coursera
4.5 (1.3K reviews )
34 hours (approximately) 
english
Online - Self Paced
course
DeepLearning.AI
About Linear Algebra for Machine Learning and Data Science
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
What You Will Learn?
- Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence.
- Apply common vector and matrix algebra operations like dot product, inverse, and determinants.
- Express certain types of matrix operations as linear transformation, and apply concepts of eigenvalues and eigenvectors to machine learning problems.