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CS-E3210 - Machine Learning: Basic Principles, 13.09.2017-08.12.2017

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Syllabus

Exercises

  • Exercises

    Exercises

    The course will cover six exercise themes: Ex1 - Introduction, Ex2 - Regression, Ex3 - Classification, Ex4 - Validation and Model Selection, Ex5 - Clustering, Ex6 - Feature Learning. The tentative course time plan and deadlines can be found here.


    Each exercise theme will consist of MyCourse quizzes (multiple choice questions) and home assignments. The home assignments will require students to work out small problems. The home assignments will then be peer graded, i.e., students review and grade the solutions of their colleges. For the peer grading, we will use the free online platform https://www.peergrade.io. 

    • Exercise Quizzes

    • icon for activity Ex1 - Introduction Quiz
    • icon for activity Ex2 - Regression Quiz
    • icon for activity Ex3 - Classification Quiz
    • icon for activity Ex4 - Validation and Model Selection Quiz
    • Exercise Garages

      We will have four parallel weekly exercise garages H1, H2, H3, and H4. These garages are meant to support students to carry out the home assignments. There will be also live coding demonstrations of how to actually implement basic machine learning methods. The attendance is NOT MANDATORY but HIGHLY RECOMMENDED as it should support you in carrying out the exercise tasks. 

      The date and location of the first garages are as follows:

      H1: 13.09.17, 12.15-14.00 in Maari-A

      H2: 14.09.17, 10.15-12.00 in A140  

      H3: 15.09.17, 14.15-16.00 in Y342a

      H4: 13.09.17, 12.15-14.00 in Y202a

      The date and location of the garages in the following weeks can be found at MyCourses.

      You can choose freely which garage you want to attend but please indicate it using the polls below so that attendance is distributed evenly.

    • Polls for Exercise Garages (indicate which garage you want to attend)
    • icon for activity Polls (week 37) Choice
    • icon for activity Polls (week 38) Choice
    • icon for activity Polls (week 39) Choice
    • icon for activity Polls (week 40) Choice
    • icon for activity Polls (week 41) Choice
    • icon for activity Polls (week 42) Choice

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  • CS-E3210 - Machine Learning: Basic Principles, 13.09.2017-08.12.2017
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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
  • CORONAVIRUS INFO
    • Koronavirus - tietoa opiskelijalle
    • Coronavirus - information for students
    • Coronavirus - information för studerande
    • Koronaviruksen vaikutus opiskeluun: kysymyksiä ja vastauksia
    • Effects of the coronavirus on studies: questions and answers
    • Coronaviruset och studierna: frågor och svar
    • Corona help for teachers
  • 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
    • WebOodi
    • Into portal for students
    • 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
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