Dive into machine learning and deep learning
techniques and
apply them to
real life datasets!
This workshop is intended as an opportunity to get an overview on the basics of "applied machine learning" techniques. It targets people with a begginer/intermediate level of expertise, and much curiosity! You will put in practice your understanding with few applications of increasing complexity. The workshop will proceed through an intuition-based understanding of the key aspects of machine learning concepts, moving to hands-on exercises on simple datasets using a set of tools needed in any "data scientist virtual backpack".
Find below more information on the workshop - for anything else please refer to the official ISGC 2021 web site
Pre-requisites
This course is intended for learners. A basic Python and/or programming background is needed. Minimal statistics background is expected. Just join us with a PC/laptop, no need to install anything in advance. A quick overview on basic libraries and selected ML frameworks will be given (see "Tools" on the right-hand side), but time is short! so any previous knowledge would be a plus.
Tools
The primary language will be Python via Jupyter notebooks hosted on Google colab . A (quick!) overview on e.g. Numpy, Pandas, Matplotlib will be given. The primary ML/DL libraries and frameworks of which we will use some functionalities will be Scikit-learn, Tensorflow and Keras.
Material
Selected material from the classes - both slides and code - will be available to attendees. Details at the workshop.
Connection details
For all information about how to connect online to the workshop, please refer to the official ISGC 2021 web site.
Timetable and Program
The
workshop
will
take
place
on
Monday
22
March
2021, 09:00 - 17:00 CET.
.
Check
out a detailed calendar in the link below.
Explore ISGC 2021!
Apart
from
the ML
workshop,
the
International
Symposium
on
Grids
&
Clouds
2021
(ISGC
2021)
has a
rich
program,
covering
a
variety
of
topics
around
the
main
theme:
Challenges
in
High
Performance
Data
Analytics:
Combining
Approaches
in
HPC,
HTC,
Big
Data
and
AI.
Explore
the entire
Conference
program
at the link below.