AML
Applied Machine Learning
Lectures
Appendix
Project
Resources
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Lectures
Appendix
Project
Resources
← Hub
Study Notes
Applied
Machine Learning
Prof. — · 2025/26 · Semester 2
6 CFU
4 sessions
4 appendix entries
4
done
0
ahead
—
exam total
Theory lectures
4
L01
Definitions of Machine Learning
→
2026-03-05
notes
mcq
L02
Gradient Descent
→
2026-03-08
notes
mcq
L03
Multivariate linear regression
→
2026-03-08
notes
L04
Logistic Regression
→
2026-03-08
notes
Math appendix
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Mathematics
Linear Algebra Essentials
Vectors, matrices, dot product, eigenvalues — everything used in ML derivations
Mathematics
Probability & Statistics
Distributions, expectations, Bayes theorem, MLE
Mathematics
Calculus & Gradients
Derivatives, chain rule, gradient descent derivation
Mathematics
Information Theory
Entropy, KL divergence, cross-entropy — used in loss functions