In recent years machine learning and deep learning techniques in particular have developed tremendously. Neural networks are being used in more and more application domains going from computer vision to speech recognition, and even replacing parts of the compute pipeline for scientific HPC applications.

 

In this course you will start from the essential concepts up to the efficient use of HPC infrastructures to get the best performance out of different machine learning tools. Several hands-on sessions are set up to present general algorithms and some scalability challenges involved in when using both large-scale data and large-scale models.

 

IMPORTANT INFORMATION: WAITING LIST

If the course gets fully booked, no more registrations are accepted through this website. However, you can be included in the waiting list: for that, please send an email to training@surfsara.nl and you'll be informed when a place becomes available.

Starts
Ends
CET
SURFsara
VK1/VK2
Science Park 140, 1098 XG Amsterdam

Please bring your own laptop (with an ssh client installed) for the hands-on sessions! It is particularly useful to have the operating system Linux or macOS installed.

Requirements:

* basic knowledge on machine learning/statistics

* Python/Jupyter

 

To travel with public transport in the Netherlands, it is very convenient if you have an anonymous OV-chipkaart. Please find the detailed information at https://www.ov-chipkaart.nl/purchase-an-ov-chipkaart/anonymous-ov-chipkaart.htm.

Information on how to reach SURFsara (SURF Amsterdam) can be found at https://www.surf.nl/en/about-surf/contact-surf.