… execution and successful project … machine learning purposes. Personnel’s understanding
of the data’s characteristics and capabilities for running successful machine learning projects …

… are good predictors of team success in open-ended tasks … machine learning approaches
(traditional and deep learning … "black box" of learning in students' project-based activities. The …

… may help stakeholders in the project crowdsourcing … on machine learning to predict the
success of a software project for crowdsourcing platforms in terms of whether the given project …

… 150 successful customer facing applications of Machine Learning, … Following the phases of
a Machine Learning project we … build 150 successful products enabled by Machine Learning. …

… several machine learning algorithms on a large database of projects. Using various project
… able to predict the clinical success and failure rates of projects with an average balanced …

… improved performance towards successful project outcomes. … of inter-project relationships
in project success prediction, by … of machine learning within the context of project management…

… of a project. This way, the conducted study provided a solid … to predict the success of IT-projects
based on project metrics … , project success, critical success factors, and success prediction…

… makes companies successful and to predict the success of a company. In this project, we …
model through supervised learning to classify which start-ups are successful and which aren’t. …

… factors of project success and different machine learning strategies to achieve success and
… The study’s results reveal that employing machine learning tools and algorithms to create a …

… projects in four different sectors are analyzed in the present paper. By portraying the type of
projects whose success … and governments since these projects are more likely to raise the …