Linear regression, gradient descent, vectors, matrices and numpy.
Syllabus
Marsland
- ch. 3, sec. 3.4 except 3.4.1
- ch. 3, sec. 3.5
Hal Daumé III, A course in Machine Learning
- ch 2, "Limits of Learning"
Compendium on Geometry and linear algebra for IN3050/IN4050
- background reading for those not familiar with linear algebra or need a brush-up.
Slides
- corrected, 9. May 2020, see Corrections to slides for corrections done