With the recent advancement in digital technologies, the size of data sets has become too
large in which traditional data processing and machine learning techniques are not able to …

This book focuses on deep learning (DL), which is an important aspect of data science, that
includes predictive modeling. DL applications are widely used in domains such as finance …

Deep learning has been widely recognized as the representative advances of machine
learning or artificial intelligence in general nowadays [1, 2]. This can be attributed to the …

Deep learning (DL) algorithms have recently emerged from machine learning and soft
computing techniques. Since then, several deep learning (DL) algorithms have been …

Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …

Over the past 10 years, deep learning has attracted a lot of attention, and many exciting
results have been achieved in various areas, such as speech recognition, computer vision …

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 …

Deep learning is a class of machine learning which performs much better on unstructured
data. Deep learning techniques are outperforming current machine learning techniques. It …

Deep learning, as one of the most currently remarkable machine learning techniques, has
achieved great success in many applications such as image analysis, speech recognition …

Deep learning is a computer‐based modeling approach, which is made up of many
processing layers that are used to understand the representation of data with several levels …