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Principles of Machine Learning by Sippo Rossi

Updated: Jan 21



Date: 31st of May and 1st of June 2022

Time: 10 AM to 3PM

Duration: 12 hours

Learn the basics of unsupervised and supervised machine learning methods and practice using them in Python with scikit-learn. Recommended for 2nd and 3rd year Bachelor students, Master students and Staff.


Sign Up: Please sign up for the course. Link is at the end of the page.


What you will learn


The skills listed below are taught in the two days of the course and students are also granted access to additional self-paced eLearning materials where they can practice and learn more.


· What is unsupervised and supervised machine learning

· How to pre-process your data for machine learning

· How to use Python and scikit-learn to create machine learning models

· How to use various clustering algorithms to group data

· How to use different supervised machine learning algorithms to solve classification and regression tasks


What is offered


In addition to the 12 hour training, we offer the following:

· Coffee during the session and some fun working with data

· A community of students and staff interested in data analytics

· Free 6-month licenses to Datacamp (https://www.datacamp.com) which will allow independently learn more before and after the workshop


Requirements


· The course requires no previous experience in machine learning

· Participants should be comfortable with using Python (having completed 1 university level course is sufficient)

· Participants should be able to manipulate data using Python libraries such as NumPy and Pandas

· Participants need to have their own laptop. It is recommended that you bring a power cord for your own device.

· Participants should have Anaconda (Individual Edition) installed on their laptop (https://www.anaconda.com/products/individual) before the start of the first session.


About the trainer


Sippo is a PhD Fellow at Copenhagen Business School, who uses machine learning to detect and study bots on social networking sites such as Twitter. He also teaches in master’s level courses related to data mining and machine learning at CBS.


Note! Students who sign up will be given Datacamp licenses in advance and recommended courses to complete there that will give sufficient knowledge to complete the course if the above requirements are not met already.





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