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Preface

Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are the high centres of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data.

In fact, it is a key benefit of big data. It is also effective for big data. Moreover, it is collecting an unlabelled and uncategorized raw data. There are some challenges also in big data related to the extraction complex patterns from the large amount of data, retrieving of fast information, tagging of data etc, deep learning can be used to deal these kinds of problems or challenges.

The purpose of this book is to help teachers to instruct the concepts of analytics in deep learning and how big data technologies are managing massive amounts of data with the help of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) etc. In this book one will find the utility and challenges of big data. Those who are keen to learn the different models of deep learning, the connection between AI, ML and DL will definitely find this book as a great source of knowledge.

This book contains chapters on artificial intelligence, machine learning, deep learning and their uses in many useful sectors like stock market prediction, recommendation system for better service selection, ehealthcare, telemedicine, transportation. In last few interesting chapter like innovations or issue or future opportunities with fog computing/cloud computing or artificial intelligence are being discussed in this work for future readers/researchers.

Hence, this book will be convenient to the undergraduate and graduate students planning their careers in either industry or research. This will also serve as a great source of learning to software engineers who are beginners in the field of advanced analytics in deep learning.

Dr. Archana MireDr. Shaveta MalikDr. Amit Kumar Tyagi January 2022