AI Webinar Friendly Introduction to Explainable AI Pr. Jaouad DABOUNOU HASSAN 1st UNIVERSITY SETTAT MOROCCO
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J. DABOUNOU - Explainable AI - 11 : Echange 03
J. DABOUNOU - Explainable AI - 10 : Echange 02
J. DABOUNOU - Explainable AI - 09 : Echange 01
J. DABOUNOU - Explainable AI - 08 : LIME
J. DABOUNOU - Explainable AI - 07 : SHAP
J. DABOUNOU - Explainable AI - 05
J. DABOUNOU - Explainable AI - 03
A. BAAZZOUZ - Explainable AI - 02
J. DABOUNOU - Explainable AI - 01
J. DABOUNOU : Properties of Multivariate Gaussian models
J. DABOUNOU : Bayesian Optimization - Multivariate Gaussian models
J. DABOUNOU : Bayesian Optimization - Global approach
Gaussian Processes and Bayesian Optimization 002
Gaussian Processes and Bayesian Optimization 001
Autoencodeurs : Questions et échange avec les participants
Les réseaux autoencodeurs et la création des modèles
Face recognition using convolutional neural network
A comparative study of NNs in cybersecurity for domain generation detection
Transfer Graph Neural Networks for Pandemic Forecasting
IA for modelling road traffic
Bayesian Optimization for machine learning : PIID - Gaussian Process
Bayesian Optimization for machine learning : PIIC - Bayes' Theorem
Bayesian Optimization for machine learning : PIIB - Linear regression
Bayesian Optimization for machine learning : PIIA - Gaussian distributions