•   Machine Learning 5G00DM02-3002 30.08.2021-24.12.2021  5 op  (19I260E) +-
    Opintojakson osaamistavoitteet
    The student is able to create and use Machine Learning Algorithms in Python. The student learns how to make predictions and analysis and knows which Machine Learning model to choose for each type of problem.
    Esitietovaatimukset
    Big Data Systems, Basic knowledge of programming
    Opintojakson sisältö
    Data Preprocessing, Machine Learning models like classification and regression, Python Libraries for Data Science.
    Arviointikriteerit
    Tyydyttävä

    Student is able to conduct data Pre-processing for different datasets with guidance. Student knows about machine Learning models like classification and regression. Student is able to exploit some Python Libraries for Data Science with guidance.

    Hyvä

    Student is able to conduct data Pre-processing for different datasets. Student knows and understands machine Learning models like classification and regression. Student is able to exploit Python Libraries for Data Science.

    Kiitettävä

    Student is able to independently conduct diversely data Pre-processing for various datasets. Student knows and understands in depth machine Learning models like classification and regression. Student is able to exploit diversely Python Libraries for Data Science in various situations.

    Vastuuhenkilön nimi

    Hanna Kinnari-Korpela

    Kirjallisuus

    Teaching in teams. Links and materials on moodle.

    Opiskelumuodot ja opetusmenetelmät

    Teaching in teams. Links and materials on moodle.

    Arviointimenetelmät (toteutus) ja kriteerit (opintojakso)

    The grade of the course consists of both exercises and practical work (max 50 p). The requirements for the practical will come to Moodle during the course.

    The grades are based on the table below:
    0 0
    1 12
    2 22
    3 30
    4 38
    5 46

    Weekly exercises can bring in 10 extra points (1 point / week assingment, you tried to solve all the tasks).

    Opetuskielet

    Englanti

    Ajoitus

    30.08.2021 - 24.12.2021

    Ilmoittautumisaika

    01.06.2021 - 03.09.2021

    Opintopisteet

    5 op

    Ryhmä(t)

    19I260E

    Paikkoja

    0 - 40

    Opettaja(t)

    Tero Soininen

    Vastuuyksikkö

    Tietotekniikka

    Koulutusohjelma(t)

    Bachelor's Degree Programme in Software Engineering

    Toimipiste

    TAMK Pääkampus

    Arviointiasteikko

    0-5

    Tenttien ajankohdat

    No exam.

    Arviointikriteerit
    Hylätty

    Practical work has not been returned to moodle