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BEGIN:VEVENT
UID:20260715T005048Z - 34410@eu441a.odoo.com
DTSTART;TZID=Europe/Brussels:20250310T090000
DTEND;TZID=Europe/Brussels:20250314T160000
CREATED:20260715T005048Z
DESCRIPTION:<a href="https://www.sustain.brussels/event/machine-learning-tr
 aining-track-107/register">Machine Learning - Training Track</a>\nDemystif
 ies machine learning algorithms tools & gets you to apply them with Python
  Description The aim of this course is to introduce the basic concepts of 
 machine learning. We will have both a theoretical part with slides and a p
 ractical part where we will use the Python programming language for the ex
 ercises. In the theoretical part\, we will introduce concepts such as supe
 rvised\, unsupervised and reinforcement learning. A few examples of classi
 c algorithms will be presented\, such as tree-based models\, naive Bayesia
 n classification and neural networks. Without seeking to formalise too muc
 h\, the theoretical aspects of machine learning will be presented both int
 uitively and using a mathematical formalism. For the programming part\, th
 e basic Python packages used in machine learning will be presented\, but p
 articipants will be assumed to already have a good command of programming 
 (ideally Python). By the end of the course\, the aim is to have contribute
 d to demystifying the tools used by data scientists and\, in the advanced 
 track\, to have manipulated simple models on real data. Course content Int
 roduction to Machine Learning from Scratch Simple machine learning models 
 The basics of deep learning Machine learning with PythonLearning outcomes 
 Improve your knowledge and use of Python\; Gain understanding of models an
 d tools used by data scientists\; Acquire a solid foundation in machine le
 arning to pursue studies in the field \; Put your theoretical knowledge in
  programming into practice Gain confidence to apply and manipulate simple 
 p Programming models on real dataPrice Thanks to the support of the Europe
 an Commission and Innoviris in the framework of the EDIH sustAIn.brussels\
 , SMEs and midcaps receive this training free of charge (0€)\, in the co
 ntext of de minimis aid. Large companies and participants without a compan
 y pay 6746€ per participant. Teachers Olivier CAELEN [...]
DTSTAMP:20260715T005048Z
LOCATION:sustAIn.brussels\, Kantersteen 16\, 1000 Brussel\, Belgium
SUMMARY:Machine Learning - Training Track
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.sustain.brussels/event/ma
 chine-learning-training-track-107/register">Machine Learning - Training Tr
 ack</a>\nDemystifies machine learning algorithms tools & gets you to apply
  them with Python Description The aim of this course is to introduce the b
 asic concepts of machine learning. We will have both a theoretical part wi
 th slides and a practical part where we will use the Python programming la
 nguage for the exercises. In the theoretical part\, we will introduce conc
 epts such as supervised\, unsupervised and reinforcement learning. A few e
 xamples of classic algorithms will be presented\, such as tree-based model
 s\, naive Bayesian classification and neural networks. Without seeking to 
 formalise too much\, the theoretical aspects of machine learning will be p
 resented both intuitively and using a mathematical formalism. For the prog
 ramming part\, the basic Python packages used in machine learning will be 
 presented\, but participants will be assumed to already have a good comman
 d of programming (ideally Python). By the end of the course\, the aim is t
 o have contributed to demystifying the tools used by data scientists and\,
  in the advanced track\, to have manipulated simple models on real data. C
 ourse content Introduction to Machine Learning from Scratch Simple machine
  learning models The basics of deep learning Machine learning with PythonL
 earning outcomes Improve your knowledge and use of Python\; Gain understan
 ding of models and tools used by data scientists\; Acquire a solid foundat
 ion in machine learning to pursue studies in the field \; Put your theoret
 ical knowledge in programming into practice Gain confidence to apply and m
 anipulate simple p Programming models on real dataPrice Thanks to the supp
 ort of the European Commission and Innoviris in the framework of the EDIH 
 sustAIn.brussels\, SMEs and midcaps receive this training free of charge (
 0€)\, in the context of de minimis aid. Large companies and participants
  without a company pay 6746€ per participant. Teachers Olivier CAELEN [.
 ..]
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