Abstract:
hese study days are part of the activities of
the LMSA laboratory (Laboratoire des
Mathématiques et Sciences Appliquées) and
within the framework of the training to
strengthen the doctoral program in
computer science "Artificial Intelligence
and Big Data" for the year 2021/2022."
Deep learning, a subfield of machine
learning, uses artificial neural networks
with multiple layers to learn from data.
With the rise of big data comes the need for
scalable and efficient deep learning
algorithms that can handle massive amounts
of data while still maintaining accuracy and
interpretability of the outputs.
In this context our study days try to highlight
the challenges associated with deep learning
and big data from the perspective of
computer science. The program of the study
days aims to be progressive, from initiation
to an advanced stage of the topic being
addressed. It includes an historical overview
of artificial intelligence, a simple
introduction to machine learning, a
discussion of big data challenges, and some
advanced technologies of deep learning as
fine tuning LLM, generative models, deep
reinforcement learning, and advanced deep
learning models
