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Learner Reviews & Feedback for Linear Algebra for Machine Learning and Data Science by DeepLearning.AI
1,941 ratings
About the Course
Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI
and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the
math concepts you learn using Python programming in hands-on lab exercises. As a learner in this program, you'll need basic to intermediate
Python programming skills to be successful. After completing this course, you will be able to: • Represent data as vectors and matrices and
identify their properties using concepts of singularity, rank, and linear independence, etc. • Apply common vector and matrix...
and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the
math concepts you learn using Python programming in hands-on lab exercises. As a learner in this program, you'll need basic to intermediate
Python programming skills to be successful. After completing this course, you will be able to: • Represent data as vectors and matrices and
identify their properties using concepts of singularity, rank, and linear independence, etc. • Apply common vector and matrix...
Top reviews
NA
Jun 18, 2023
Very visual and application oriented and gives the context for machine learning and where linAL is applied in PCA and neural networks. The structure is really byte sized and fun to work with.
SP
Jul 27, 2023
This course is truly exceptional for individuals eager to strengthen their grasp of Linear Algebra concepts, paving the way for a deeper understanding of machine learning and data science.
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476 - 477 of 477 Reviews for Linear Algebra for Machine Learning and Data Science
By Cameron S D
•May 12, 2023
Won't let me un-enroll!
By Ehsan s
•May 20, 2024
poor content delivery.