Outils Mathématique et Bases de intelligence Artificielle
Aperçu des sections
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Faculté: Technologie
Département: Génie Electrique
Spécialités : Hydrogène Vert Vecteur d’Energie
Intitulé du cours : Outils Mathématique et Bases de l’Intelligence Artificielle
Crédit: 4
Coefficient: 2
Enseignant chargé de cours : Dr. Ouali Mohammed Assam
Contact par mail : mohamedassam.ouali@univ-msila.dz
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The goal of machine learning is to create algorithms that can learn from data and generate predictions . Machine learning is predicated on mathematical foundations. Mathematics is required to complete the Data Science project and to solve the Deep Learning use cases.
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In this chapter on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems.
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