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sowiso logo Mathematics for AI

Open course Mathematics for AI offered by IvI and SMASH (only available in English)

Authors: Floor Eijkelboom, Tin Hadži Veljković, André Heck

Full access via UvAnetID

Available languages: 
en
Course content
Math4AI
THEORY
T
1.
About Math4AI
THEORY
T
2.
Further Reading
THEORY
T
3.
FAQs
Linear Algebra
THEORY
T
1.
Introduction
THEORY
T
2.
Vector spaces
PRACTICE
P
3.
Vector spaces
6
THEORY
T
4.
Bases
THEORY
T
5.
Dot product
PRACTICE
P
6.
Dot product
7
THEORY
T
7.
Orthogonal Projection and Orthonormal Bases
PRACTICE
P
8.
Orthogonal Projection and Orthonormal Bases
1
THEORY
T
9.
Linear Operators
PRACTICE
P
10.
Linear Operators
15
THEORY
T
11.
Rank of a Matrix
PRACTICE
P
12.
Rank of a Matrix
2
THEORY
T
13.
Special Matrix Types
PRACTICE
P
14.
Special Matrix Types
3
THEORY
T
15.
Change of Basis
PRACTICE
P
16.
Change of Basis
3
THEORY
T
17.
Determinants
PRACTICE
P
18.
Determinants
6
THEORY
T
19.
Eigensystems
PRACTICE
P
20.
Eigensystems
10
THEORY
T
21.
Matrix Decompositions
PRACTICE
P
22.
Matrix Decompositions
6
Calculus
THEORY
T
1.
Introduction
THEORY
T
2.
Univariate Derivatives
PRACTICE
P
3.
Univariate Derivatives
6
THEORY
T
4.
Multivariate Derivatives
PRACTICE
P
5.
Multivariate Derivatives
6
THEORY
T
6.
Jacobian Matrix
PRACTICE
P
7.
Jacobian Matrix
2
Statistics
THEORY
T
1.
Introduction
THEORY
T
2.
Basic Probability Theory
THEORY
T
3.
Probability Calculus
THEORY
T
4.
Independence
THEORY
T
5.
Graphical Models
THEORY
T
6.
Poisson Distribution
THEORY
T
7.
Estimators
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Open course Mathematics for AI offered by IvI and SMASH (only available in English)

Authors: Floor Eijkelboom, Tin Hadži Veljković, André Heck

Full access via UvAnetID

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