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CS-C3160 - Data Science, 28.10.2019-16.12.2019

This course space end date is set to 16.12.2019 Search Courses: CS-C3160

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Materials

  • Materials

    Materials

    • Lecture 1 (31.10.2019)

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

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

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

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

    • icon for activity FileSupervised learning File PDF document
    • Lecture 4 (21.11.2019)

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

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

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

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

    • icon for activity FileRecap session File PDF document

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  • CS-C3160 - Data Science, 28.10.2019-16.12.2019
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  • Schools
    • School of Arts, Design, and Architecture (ARTS)
    • School of Business (BIZ)
    • School of Chemical Engineering (CHEM)
    • –sGuides for students (CHEM)
    • – Instructions for report writing (CHEM)
    • School of Electrical Engineering (ELEC)
    • School of Engineering (ENG)
    • School of Science (SCI)
    • Language Centre
    • Open University
    • Library
    • Aalto university pedagogical training program
    • UNI (exams)
    • Sandbox
  • Service Links
    • MyCourses
    • - Instructions for Teachers
    • - Teacher book your online session with a specialist
    • - Digital tools for teaching
    • - Personal data protection instructions for teachers
    • - Instructions for Students
    • - Workspace for thesis supervision
    • Sisu
    • Student guide
    • Courses.aalto.fi
    • Library Services
    • - Resourcesguides
    • - Imagoa / Open science and images
    • IT Services
    • Campus maps
    • - Search spaces and see opening hours
    • Restaurants in Otaniemi
    • ASU Aalto Student Union
    • Aalto Marketplace
  • ALLWELL?
    • Study Skills
    • Support for Studying
    • Starting Point of Wellbeing
    • About AllWell? study well-being questionnaire
  •   ‎(en)‎
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    •   ‎(fi)‎
    •   ‎(sv)‎