… several areas of data science, AI, machine learning, and inf. … topics in machine learning
and artificial intelligence. He has … tion of machine learning models, and on machine learning …

… In a competitive landscape where challenges keep changing and data never stop flowing,
data scientists help decision makers shift from ad hoc analysis to an ongoing conversation …

… Ideally, the application of techniques from artificial intelligence and data science to spatial
data in the earth and social sciences is not a one-way street. Recent research (Yan et al. …

… data drive artificial intelligence (Kersting and Meyer, 2018). Data mining pervades social
sciences… Indeed, data science and artificial intelligence are becoming increasingly popular, with …

… this goal, artificial intelligence, particularly, machine learning … population density through
data-driven intelligent decision-… it using data science knowledge through machine learning-…

… and exploiting such data in meaningful ways. Not surprisingly, the use of data science techniques
to … This paper reviews how Data Science has been applied to address the most difficult …

… In the future, artificial intelligence (AI) is likely to substantially change both marketing
strategies and customer behaviors. Building from not only extant research but also extensive …

… data science: if data science is viewed as a complex system, then we can create a system
architecture of data science, which may consist of various data feeds, data … artificial intelligence …

… A major reason for the interest in interactions between Artificial Intelligence (AI) and
Databases is the realization that, on the one hand, significant improvements in productivity and …

… The data types considered in the artificial intelligence artificial (AI) literature. The comparison
is obtained through searching the diagnosis techniques in the AI literature on the PubMed …