A day of machine learning
Machine learning is getting hotter and hotter and it is time to get a taste of it!
Judith Bütepage, Ph.D student in Robotics and Machine Learning at KTH, will give us a whole day workshop together with an inspirational talk!
Of course, everything is completely free of charge, including lunch, coffee, and snacks.
If you have registered and need to cancel for some reason - please do so through the link provided in the registration email. We have a limited number of spots, and someone else will be happy to take your place!
Hope to see you there!
10:00 - 10:05 Welcome and short introduction by Pink Programming
10:05 -11:35 Intro and classification
11:35 - 12:35 Machine learning hands-on
12:30 - 13:15 Lunch
13:15 - 13:45 Inspirational talk by Judith Bütepage
13:45 - 14:45 Regression and deep learning
14:45 - 15:45 Deep learning hands-on
15:45 - 16:15 Discussion and societal impact
You may need some programming knowledge to attend the workshop, but you don't need to know Python or machine learning specifically. Your own laptop is needed for the workshop and also the following software need to be downloaded before workshop starts:
1. the Anaconda version of Python (https://www.continuum.io/downl...)
2. Spyder (https://pythonhosted.org/spyde...) (Spyder is just Judith's choice! It is convenient especially for Windows computers)
3. scikit-learn (http://scikit-learn.org/stable/)
Machine Learning is a subfield of computer science that has its early beginnings in the 1950ies but has become increasingly popular in the recent years due to theoretical advances and more computational power. Nowadays, you meet machine learning algorithms everywhere, ranging from search engines over automatic spelling corrections to face detection in images. The arrival of “deep learning” has triggered an increasing interest by the public and the industry.
In this workshop, I will introduce the basic concepts that underlie these algorithms with hands-on examples in Python. Furthermore, I will explain the ideas and hype behind deep learning and discuss its shortcomings. Finally, I would like to talk about the impact machine learning has on society and democracy.
Judith Bütepage studied Cognitive Science at the University of Osnabrück in Germany before her studies in Machine Learning at KTH in Stockholm. Since 2015 she is a Ph.D. student at the Robotics, Perception and Learning Lab at the school of computer science at KTH. Her research deals with Machine Learning approaches towards Human-Robot interaction.