3rd floor, room M3.7
Hack Kampmanns Pl. 2,
8000 Aarhus C.
07:30 Doors open
08:00 Workshop starts
16:00 Workshop ends
Destination AARhus serves a light breakfast, lunch, coffee/tea, water and some refreshments.
In this 1-day workshop we will cover the application of supervised and unsupervised learning for both structured and unstructured data. We will use open source tools such as Scikit-Learn, Tensorflow and Keras to analyze industrial data, text and images while building a robust data pipeline
We will cover details and implementation of Inference products such as commercial API’s and pre-trained open source models, which are ready to implement in applications, and will later touch upon manual and automated hyper-parameter optimization, Transfer Learning, custom modeling and step-by-step approach to a successful Data Science project.
You should follow this workshop if you have basic understanding and general or direct interest in Machine learning. Requirements are that you are familiar with Python and descriptive statistics (Mean, standard deviation etc).
Participants can expect to learn
Nicholai Stålung has a background in econometrics, mathematical modelling and financial technology. He currently work as a Data Scientist and Machine Learning Consultant at Trifork Copenhagen.
Registration opens: 01.10.2019 at 10am
Registration closes: 22.10.2019
In case of a fully booked workshop we create a waiting list.
This is a closed workshop for employees from Destination AARhus member companies.
LIMITED SEATS! There are 20 seats, which will be distributed by a first-comes-first principle.
If you have signed up for the workshop but need to cancel your reservation, please notify us as soon as possible by writing an email to: firstname.lastname@example.org
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