Mars 2020 to Present
November 2018 to Mars 2020
October 2017 to October 2018
At @DEMOAfrica , in Casablanca, Marocco, I had the great opportunity to present @instadeepai and African potential to handle Data Science Work globally. the Panel was moderated By @xelatsads in discussion with experts from @Microsoft, El Arras & Partners, Inc. and @symantec. pic.twitter.com/YwXCL8THHi— Ala Eddine AYADI (@alaeddine_ayadi) October 22, 2018
I am delighted and honored to be invited as a speaker at this great event "IEEE Day Technopole El Ghazala" at my home university "Sup'Com" .— Ala Eddine AYADI (@alaeddine_ayadi) October 7, 2018
where I presented an initiation to data science, @TensorFlow, @kaggle ... pic.twitter.com/67PqnThLpR
We are so excited to announce that our team composed of @mohamedJedidi94 and I won the first prize of the @Kaggle_Days competition in Paris among 77 teams including @kaggle's Masters, experts and GrandMasters from all over the world! #kaggle #kaggledays #AI #datascience #winner pic.twitter.com/dvABvDaqKv— Ala Eddine AYADI (@alaeddine_ayadi) January 28, 2019
Congratulations to @AlaEddine_Ayadi for winning best poster at #DLIndaba2018. As a prize, @MSFTResearch sent him to #NeurIPS2018! Learn more about @DeepIndaba from @Dr_Tempest: https://t.co/NM23LOJZfX pic.twitter.com/JsY9EnEvNY— Microsoft Research (@MSFTResearch) December 4, 2018
#6to8talks: Encore une session autour de l'intelligence artificielle mardi prochain à #OrangeDeveloperCenter assuré par @alaeddine_ayadi, Data Scientist at Relational #AI 🙂— Orange Tunisie RSE (@OrangeTN_Plus) November 23, 2018
Soyez nombreux et réservez vos places dès maintenant sur : https://t.co/F7lZeG2c3K pic.twitter.com/yiCN2GGZcr
Probabilistic soft logic (PSL) is a SRL framework for collective, probabilistic reasoning in relational domains. PSL uses first order logic rules as a template language for graphical models over random variables.
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.
Deep Learning is an artificial intelligence function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in Artificial Intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled.
Reinforcement learning (RL) is an area of machine learning concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward. The problem, due to its generality, is studied in many other disciplines, such as game theory, control theory, operations research, information theory, simulation-based optimization, multi-agent systems, swarm intelligence, statistics and genetic algorithms.
Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do.
Quantum computing is the area of study focused on developing computer technology based on the principles of quantum theory, which explains the nature and behavior of energy and matter on the quantum.