dr Marcin Sydow - Introduction to Artificial Intelligence and Machine Learning

(wersja polska)

Studies: Undergraduate, Information Management Department, Polish-Japanese Institute of Information Technology
Language: Polish
Lectures: 10 (lectures 4-8 by dr D.Cendrowska, PJIIT)
Classes/Labs: No
Project: No
Exam: Written
Description: A high-level introduction to Artificial Intelligence and Machine Learning for non-computer scientists, selected topics

Results from the test (15.05.07) available on ftp server (msyd/dydaktyka/psi)

Syllabus:
  1. Artificial Intelligence - general introduction
  2. Machine Learning (supervised vs unsupervised) - the idea, Classification
  3. Evaluation, Data Representation, Decision Trees and Decision Rules
  4. Linear Regression and Perceptron
  5. Neural Networks as Classifiers
  6. Recurrent Neural Networks
  7. Unsupervised Neural Networks
  8. Evolutionary Algorithms
  9. (Class Work)
  10. Presentation of Software (Weka)


back to: Marcin Sydow - home page
Last updated: 20 Mar 2007