… of these demands on recent work in machine-learning algorithms, theory, and practice. …
However, the potential benefits that society could realize, even from existing online data, would …

… in the existing literature. In this paper, we address this by surveying the existing practices, …
)-based techniques such as deep learning meet the classical optimization techniques, to …

… This survey reviews published reports of deploying machine learning … of the machine
learning deployment workflow. By mapping found challenges to the steps of the machine learning …

… learning algorithms have been developed, and existing … learning occurs when the agent
makes an \inductive leap" and chooses to believe some fact F that is not entailed by its existing …

… KM practices on organizational performance of small and medium-sized enterprises (SME)
in service industry. Four popular machine learning … level of KM practices and organizational …

… adoption of machine learning solutions& practices. Machine Learning enables computers
to … approach is all about recognizing unidentified existing patterns from the data in order to …

… Machine Learning (ML) techniques have been applied in the field of nanotoxicology with …
-wise information on techniques and procedures of existing models that can be used readily to …

… To better understand the current state of the practice, the objective of this paper is to …
To date, to the best of our understanding, there is no existing work that provides a synthesis …

… This paper critiques popular modes of participation in design practice and machine learning.
It examines three existing kinds of participation in design practice and machine learning …

… and meaningful impact on industry practice, however, it is … , we investigate teams’ existing
practices and challenges around … Participants also often report struggling to apply existing …