A systematic review on supervised and unsupervised machine learning algorithms for data science
Abstract Machine learning is as growing as fast as concepts such as Big data and the field of
data science in general. The purpose of the systematic review was to analyze scholarly …
data science in general. The purpose of the systematic review was to analyze scholarly …
[图书][B] Supervised and unsupervised learning for data science
Supervised and unsupervised learning algorithms have shown a great potential in
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …
Hybrid approach of the fuzzy C-means and the K-nearest neighbors methods during the retrieve phase of dynamic case based reasoning for personalized follow-up of …
EN El Mokhtar, Z Abdelhamid - International journal of …, 2019 - search.proquest.com
The goal of adaptive learning systems is to help the learner achieve their goals and guide
their learning. These systems make it possible to adapt the presentation of learning …
their learning. These systems make it possible to adapt the presentation of learning …
[PDF][PDF] THÈSE EN CO-TUTELLE
K HAMOUCHE - theses.fr
Résumé Le roulement est un composant essentiel d'une machine tournante car il assure la
rotation des éléments tournants tels que les arbres ou les éléments en rotation sur arbres …
rotation des éléments tournants tels que les arbres ou les éléments en rotation sur arbres …