BD-2-003 (0) - Machine Learning for Descriptive Problems

• Big data analytics 2016 - Big data analytics
• Big data analytics 2017 - Big data analytics
• Big data analytics 2018 - Big data analytics
• Big data analytics 2019 - Big data analytics

3 (2020-01-01 to 2020-03-22)

English

Compulsory

First

5 cr

The aim of the course is...

At the end of the course the student is expected
to
be able to...

The students learns to handle massive data
programmatically to perform feature engineering.
The students understand how to employ both
classification and clustering algorithms for big
data problems and how to utilize their output in
service creation. Students learn to carry out
verification of results as part of the solution
process.

Multiform education

To pass the course the student should pass the
following examinations:
Examination 1 ....
Examination 2.... etc.
(examinations include written examination tests,
demonstrations and presentations, reports and
produktions, essays, and also presence at
specified occasions)

The examinations contribute to the final grade
as follows: ...

• Westerlund Magnus
• Espinosa Leal Leonardo
• Rönnqvist Samuel
• Ginter Filip
• Kanerva Jenna
• Karlsson Jonny

Westerlund Magnus

https://arcada.itslearning.com/ External link

No limit (47 students enrolled)

12 months after course has ended

2019-12-24 to 2020-01-20