Grants are available from thousands of sources, both private and public. To the grantseeker, however, this wealth of sources appears like an impenetrable jungle. "Where are the grants I need and what do I need to do to submit my ideas and proposals?" This book is designed to answer these questions by aiming the grantseeker to both the grant givers and by providing a bibliography of book for further research.

The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.