Machine learning is a branch of artificial intelligence that aims at enabling machines to
perform their jobs skillfully by using intelligent software. The statistical learning methods …

This chapter introduces the various methods existing beneath the umbrella of deep learning
paradigm, their intricate details, and their applications in various fields. Deep learning has …

The real-world applications need someone who will process the data with precision and
take respective actions and it has to be out there without any human intervention so …

Now-a-days artificial intelligence has become an asset for engineering and experimental
studies, just like statistics and calculus. Data science is a growing field for researchers and …

Machine learning (ML) is a type of study that allows system how to perform operation by
providing multiple examples of how they should be done. ML is used to allow that how we …

Artificial Intelligence (AI) is the most fascinating and discussed technology in the current
decade for its nature of mimic human intelligence. As John McCarthy defines it is “The …

Big data analytics is one high focus of data science and there is no doubt that big data is
now quickly growing in all science and engineering fields. Big data analytics is the process …

In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

Deep learning is a new area of machine learning research. Deep learning technology
applies the nonlinear and advanced transformation of model abstraction into a large …