This engineering course is an introduction to the fundamental concepts of machine learning in a lab-like environment. The course is structured in three main parts that mimic the daily workflow of a data scientist in a real organization: (i) data preparation; (ii) machine learning algorithms; and (iii) data visualization and decision making.
Spring | Summer | Fall | ||
---|---|---|---|---|
(Session 1) | (Session 2) | |||
2023 |
Applied Data Science (4c)
|
|||
2022 |
Applied Data Science (4c)
|
|||
2021 |
Applied Data Science (4c)
|
|||
2020 |
Applied Data Science (4c)
|
|||
2019 | ||||
2018 | ||||
2017 | ||||
2016 | ||||
2015 | ||||
2014 | ||||
2013 | ||||
2012 | ||||
2011 | ||||
2010 | ||||
2009 | ||||
2008 | ||||
2007 |