The first textbook to teach students how to build data analytic solutions on large data sets
using cloud-based technologies. This is the first textbook to teach students how to build data …

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and
IoT principles and technologies The main goal of this book is to spur the development of …

Deep learning, a sub-field of machine learning is inspired by the principle of information
processing in the human brain. Its applications are autonomous driving, robotics control …

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and
systems to analyze the large number of digital data sources available on the Internet using …

Cloud computing has created a shift from the use of physical hardware and locally managed
software-enabled platforms to that of virtualized cloud-hosted services. Cloud assembles …

Summary Google Cloud Platform in Action teaches you to build and launch applications that
scale, leveraging the many services on GCP to move faster than ever. You'll learn how to …

Cloud computing offers many advantages to researchers and engineers who need access to
high performance computing facilities for solving particular compute-intensive and/or large …

Advanced data mining techniques and associated tools can help extract information from
large, complex datasets that is useful in making informed decisions in many business and …

Deep learning, driven by large neural network models, is overtaking traditional machine
learning methods for understanding unstructured and perceptual data domains such as …

A guide to cloud computing for students, scientists, and engineers, with advice and many
hands-on examples. The emergence of powerful, always-on cloud utilities has transformed …