Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects. What You Will Learn Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP Who This Book Is For Data scientists and software developers interested in the field of data analytics.
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects. What You Will Learn Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP Who This Book Is For Data scientists and software developers interested in the field of data analytics.
This book critically examines the cultural desire for anglicisation of the Indian middle class in the context of postcolonial India. It looks at the history of anglicised self-fashioning as one of the major responses of the Indian middle class to British colonialism. The book explores the rich variety of nineteenth- and twentieth-century writings that document the attempts by the Indian middle class to innovatively interpret their personal histories, their putative racial histories, and the history of India to appropriate the English language and lay claim to an “English” identity. It discusses this unique quest for “Englishness” by reading the works of authors like Michael Madhusudan Dutt, Rabindranath Tagore, Cornelia Sorabji, Nirad C. Chaudhuri, Dom Moraes, and Salman Rushdie. An important intervention, this book will be of interest to scholars and researchers of postcolonial studies, Indian English literature, South Asian studies, cultural studies, and English literature in general.
This book is an effort to tether all the exuberant observations on adding nanomaterial in the TPE matrix. With an enhanced processing property along with amplified recyclability and reprocessing feature, thermoplastic elastomers (TPE) proves to be one of the most significant polymeric materials till date. As the scientific world evolves, these advanced materials have attuned themselves with various anisotropic nanomaterials to induce an enhanced property effect on the final product. On an additional note, authors have done extensive research on graphene, the most multifaceted element in the filler family keeping TPE and its derivate as the matrix martial. Cogitating the idea of a multidimensional readership, authors have analyzed the synthesis, derivatization, and properties of graphene and its derivatives separately. Apart from reviewing the future prospects and the potential application of these nano-filled advanced materials, they have kept the structure–property relationship of graphene-based composites at the cynosure to provide firm understanding on the blossoming of these elastomeric composites. The authors believe this book is a potential content for both professionals and academicians.
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