Skip to main content
grasp.study
About
Explore
Pricing
Log in
Try it for free
Back to course
👋
Welcome to a Grasp lesson
Create a free account
to keep studying and create your own study path.
Math for Machine Learning
·
Module 1
Foundations of Linear Algebra: Vectors
1
Vectors in R^n: Dot Product and Geometric Interpretation
Define vectors in R^n and compute the dot product, interpreting it as a measure of angle and similarity.
2
Vector Norms: Magnitude Measures
Compute the L1 and L2 norms of a vector and interpret them as measures of magnitude.
3
Linear Independence of Vectors
Determine whether a set of vectors is linearly independent.
4
Understanding Vector Span
Define the span of a set of vectors and determine if a given vector lies in the span.
5
Basis and Dimension of Vector Spaces
Define the basis and dimension of a vector space.
Next module isn't ready yet,
Back to course
Previous module
Next module