CS-C3160 - Data Science, 28.10.2019-16.12.2019

Materials

• Materials
  

  Materials

  • Lecture 1 (31.10.2019)
    

  • FileCourse practicalities File PDF document
  • FileData as a matrix File PDF document
  • Lecture on Peergrade and final projects
    

  • FileFinal project and Peergrade File PDF document
  • Lecture 2 (7.11.2019)
    

  • FileParameter estimation File PDF document
  • Additional notes for lecture 2 and Demo1
    

  • FileLecture Note for parameter estimation File PDF document
  • FileAdditional notes for Demo1 File PDF document
  • Lecture 3 (14.11.2019)
    

  • FileSupervised learning File PDF document
  • Lecture 4 (21.11.2019)
    

  • FileDimension reduction and Unsupervised learning; File PDF document
  • Guest Lectures (25.11.2019)
    

  • FileGuest Lecture: Juuso Parkkinen; File PDF document
  • FileGuest Lecture, Falcon Perez Ricardo; File Powerpoint 2007 presentation
  • Lecture 5 (28.11.2019)
    

  • FileDiscrete methods, and Network analysis; File PDF document
  • Guest Lecture (2.12.2019)
    

  • FileData science in real state industry; File PDF document
  • Recap session (5.12.2019)
    

  • FileRecap session File PDF document