Test details
About Azure Machine Learning Studio
Azure Machine Learning Studio is the next-level resource for machine learning. This feature gives data scientists and developers a centralized place to use all artifacts to build, train, and deploy machine learning models.
About Azure Machine Learning Studio QCM
This MCQ addresses the Microsoft Azure Machine Learning Studio solution. It covers almost all aspects of this platform. The topics covered are therefore:
- The Azure Machine Learning Designer tool that allows you to develop models via a “User-freindly” interface.
- Data preparation modules available as a toolbox.
- The use of model development modules.
- The mastery of the calculation instances associated with the experiments carried out in the Azure Machine Learning Studio environment.
- Loading data into the Azure Machine Learning Studio environment.
- The deployment of models in the form of web services.
- The implementation of AutoML-type experiments that automate the process of finding models.
Test author : Madjid Khichane
After an engineering degree in Computer Science obtained at Mouloud Mammeri University in Tizi-Ouzou in Algeria then a Master's degree in Artificial Intelligence obtained at Paris 5 University (René Descartes), Madjid KHICHANE defended his PhD in Artificial Intelligence in collaboration between Claude Bernard Lyon 1 University and IBM.
This doctoral thesis gave rise to algorithmic innovations in the field of reinforcement learning which are now published in leading international conferences.
Madjid has held positions as an expert in artificial intelligence and expert in Data Science within major international groups in the field of computer technologies and particularly in the field of Data Science.
Sample question
What is the number of records used by the SMOTE module algorithm to calculate new records?
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