Statistical learning theory

Repository

Repository is empty

Poll

No polls currently selected on this page!

Statistical learning theory

Code: 213158
ECTS: 5.0
Lecturers in charge: izv. prof. dr. sc. Nikola Sandrić - Lectures
Load:

1. komponenta

Lecture typeTotal
Lectures 45
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
Literature:
  1. S. Ben-David, S. Shalew-Shwartz: Understanding machine learning
  2. V. N. Vapnik: Statistical learning theory
  3. M. Mohri, A. Rostamizadeh, A. Tlwalkar: Foundations of Machine Learning
  4. T. Hastie, R. Tibshirani, J. Friedman: The elements of statistical learning
  5. V. N. Vapnik: The nature of statistical learning theory
  6. M. Anthony, P. L. Bartlett: Neural Network Learning: Theoretical Foundations
Prerequisit for:
Enrollment :
Passed : Mathematical statistics
1. semester
Izborni predmet 1, 2, 3, 4 - Regular study - Mathematical Statistics

2. semester
Izborni predmet 1, 2, 3, 4 - Regular study - Mathematical Statistics

3. semester
Izborni predmeti 5, 6, 7 - Regular study - Mathematical Statistics

4. semester
Izborni predmeti 5, 6, 7 - Regular study - Mathematical Statistics
Consultations schedule:
  • izv. prof. dr. sc. Nikola Sandrić:

    Thursdays from 10:00 to 12:00.

    Location: 303

News - Archive

Return

Results 0 - 0 of 0
Page 1 of 0
Results per page: 
No news!