by Hadj Ahmed Bouarara (Editor)
Interest in big data has swelled
within the scholarly community as has increased attention to the
internet of things (IoT). Algorithms are constructed in order to parse
and analyze all this data to facilitate the exchange of information.
However, big data has suffered from problems in connectivity,
scalability, and privacy since its birth. The application of deep
learning algorithms has helped process those challenges and remains a
major issue in todays digital world.
Advanced Deep Learning Applications in Big Data Analytics
is a pivotal reference source that aims to develop new architecture and
applications of deep learning algorithms in big data and the IoT.
Highlighting a wide range of topics such as artificial intelligence,
cloud computing, and neural networks, this book is ideally designed for
engineers, data analysts, data scientists, IT specialists, programmers,
marketers, entrepreneurs, researchers, academicians, and students.
