Blog Special: The Accelerating Evolution of Artificial Intelligence
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Linear Algebra
Includes algorithms for computing:
- scalars
- vectors and vector spaces
- eigenvalues and eigenvectors
- matrices and matrix operations
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Linear Algebra uses in ML include:
- loss calculations
- natural language processing
- image processing
- dimensionality reduction
“Algebra is the metaphysics of arithmetic.”
“I like - I love calculus. I love linear algebra, probability and statistics, that kind of stuff. I just really like that.”
“The phenomenon of creativity, we know, is closely related to the ability to yoke together separate, and even seemingly incompatible, matrices.”
Concatenation
Convolution
Eigenvalues and Eigenvectors
Linear Equations
Linear Vector Projection
Masking
Matrices
Pooling
Scalars
Scaling
Softmax Function
Vectors