Je suis Karim EL-KHEDDOUMI, un Data Scientist de 27 ans travaillant chez WAFA GESTION dans le domaine de la gestion d’actifs. Je suis titulaire d’un Master en Intelligence Artificielle de INSEA.
Wafa Gestion is the leading asset manager in Morocco for third-party clients, and an expert in designing and managing investment solutions.
Mar. 2020 - Sep. 2020, Toulouse
The interdisciplinary institute in artificial intelligence of Toulouse, named the Artificial and Natural Intelligence Toulouse Institute (ANITI), has been selected to be one of four institutes spearheading research on AI in France.
Master of Science in Intelligent SystemsCours suivis:
Activités extra-scolaires:
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Bachelor's degree in Mathematics and Computer ScienceCours suivis:
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General University Studies Diploma in Mathematics and Computer ScienceCours suivis:
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2013-2014 Baccalaureate in Mathematical Science |
Face Mask detection application using deep learning approache, Keras/Tensorflow and openCV.
Build a deep learning model that can detect fraudulent transactions based on a data set from Kaggle.
Design and Implement a preferences compiler with java using ILOCPLEX librerie.
Using big data tools to build a real-time sentiment analysis system.
Building a simple face recognition application using Python and openCV with a tkinter gui interface.
Using constrained programming approach to solve the nurse scheduling problem (NSP) and implimenting it with java and choco solver.
Aimed at investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of machine learning techniques and how they are used in the investment process, this course offers an introduction to the basic data and statistical techniques and lays an essential foundation in the techniques that are used in big data and machine learning.
A Scrum Master certification, or Scrum certification, is a credential that recognizes your competency in Scrum project management principles. It can qualify candidates to become Scrum Masters—a type of project manager that uses Scrum to complete projects.
This is the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.
In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning.
