Advanced Analytics and Deep Learning Models

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 ...