Institute of Computer Science
  1. Courses
  2. 2018/19 spring
  3. Machine Learning II (LTAT.02.004)
ET
Log in

Machine Learning II 2018/19 spring

Previous years: 2008 » 2012 » 2013 » 2014

  • Main
  • Lectures
  • Exercise sessions
  • Grading
  • Piazza forum
  • Upload

⊛ Scalar product and matrix algebra

Given by Sven Laur

  • Pre-session exercises to the VI session
  • Materials for the pre-session

Video Tutorial

Here is the set of videos to acquaint you with scalar product and matrix operations. Watch them in correct order.

Exercise 1

  • Geometric Definition of Scalar Product
  • Linearity of Scalar Product
  • Consequences of Linearity of Scalar Product
  • Now start by solving exercise 1 from the exercise sheet

Exercise 2

  • Decomposition into Orthogonal Components in 2D
  • Decomposition into Orthogonal Components in 3D
  • Computing Volume of a Parallelogram (demo)
  • Now start by solving exercise 2 from the exercise sheet

Exercise 3

  • Scalar Products and Planes
  • Finding Distance Between Plane and Point of Origin (demo)
  • Now start by solving exercise 3 from the exercise sheet

Exercise 4

  • Scalar Products and Coordinates
  • Scalar Products and Coordinates (demo)
  • Now start by solving exercise 4 from the exercise sheet

Exercise 5

  • Generalised Scalar Product
  • Generalised Scalar Product (demo)
  • Now start by solving exercise 5 from the exercise sheet

Deadline: 7th of March 16:15 EET

3. Graphical models and belief propagation
Solutions for this task can no longer be submitted.
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
In case of technical problems or questions write to:

Contact the course organizers with the organizational and course content questions.
The proprietary copyrights of educational materials belong to the University of Tartu. The use of educational materials is permitted for the purposes and under the conditions provided for in the copyright law for the free use of a work. When using educational materials, the user is obligated to give credit to the author of the educational materials.
The use of educational materials for other purposes is allowed only with the prior written consent of the University of Tartu.
Terms of use for the Courses environment