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Big Data Analytics Using Artificial Intelligence Technologies: Transforming Organizations - Tapa blanda
Sinopsis
It was way back in 1990s that the term Big Data was first used. It is used to refer to data that is "huge, overwhelming, and in uncontrollable amounts". Such humongous data can be used for decision making using techniques of data analysis. However, in the last two decades, the volume and speed with which data is generated has changed beyond measures of human comprehension. IDC (International Data Corporation) estimated the newly created data will reach close to 35 zettabytes (35 trillion gigabytes) by 2020. But by 2018 it was already at 33 zettabytes, leading IDC to predict that in 2025, 175 zettabytes (175 trillion gigabytes) of new data will be created around the world.The need to process and analyse these increasingly larger (and unstructured) data sets led to the transformation of traditional data analysis into 'Big Data Analytics' in the last decade. This transformation led to complete transformation of the organizational processes and the strategic decision making and also to the evolution of newer technologies and tools for handling and servicing the Big Data Architecture and Big Data Analytics. This book has been designed for students (both graduates and postgraduates) and practitioners who want to understand all the concepts related to Artificial Intelligence, Big Data and Big Data Analytics, the related terminologies, technologies, and use cases in various domains. The examples and use cases provided in the book do not require a technical or conceptual skill set but an interest in the concerned domain to appreciate the problems and the results and advantages achieved through application of Intelligent Techniques. The book covers the concepts from the standpoint of a novice, so the readers need no prior knowledge of any tool or technology before reading this book. But the readers should have an inclination towards Statistics and Analysis to appreciate and understand the concepts.
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Acerca del autor
Dr. Rinku Sharma Dixit is an alumnus of Delhi University who completed her PhD in Pattern Recognition using ANNs from Dr. Bhim Rao Ambedkar University, Agra. She is currently Professor in the Department of Artificial Intelligence and Machine Learning at New Delhi Institute of Management (NDIM).
Dr. Shailee Lohmor Choudhary is an alumnus of Delhi University who completed her PhD in Evolutionary Algorithms from Bharathiar University, Coimbatore. She is currently Professor and Head of the Department of Artificial Intelligence and Machine Learning at New Delhi Institute of Management(NDIM), Both the authors are proficient trainers for AI, ML and RPA platforms using both coding (R, Python, SAS) and no-coding platforms (RapidMiner, KNIME, UiPath).
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Big Data Analytics Using Artificial Intelligence Technologies
Publicado por
I. K. INTERNATIONAL, 2022
ISBN 10: 9390620511
ISBN 13: 9789390620517
Antiguo o usado
paperback
Librería: Bestsellersuk, Hereford, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
paperback. Condición: Very Good. Bumped edges. Creased cover and pages. Marks to the edges of the pages. No.1 BESTSELLERS - great prices, friendly customer service â" all orders are dispatched next working day. Nº de ref. del artículo: mon0000846130
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Big Data Analytics: Using Artificial Intelligence Technologies Transforming Organizations
Librería: Books in my Basket, New Delhi, India
Calificación del vendedor: 5 de 5 estrellas
Soft cover. Condición: New. ISBN:9789390620517,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition. Nº de ref. del artículo: 2434395
Cantidad disponible: 1 disponibles
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Big Data Analytics: Using Artificial Intelligence Technologies Transforming Organizations
Librería: Books in my Basket, New Delhi, India
Calificación del vendedor: 5 de 5 estrellas
N.A. Condición: New. ISBN:9789390620517. Nº de ref. del artículo: 2253224
Cantidad disponible: 4 disponibles
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Big Data Analytics: Using Artificial Intelligence Technologies Transforming Organizations
Librería: Vedams eBooks (P) Ltd, New Delhi, India
Calificación del vendedor: 4 de 5 estrellas
Soft cover. Condición: New. Contents: 1. Introduction of Big Data in Organizations: The Changing Perspectives. 2. Basics of Big Data. 3. Big Data Tools and Technologies. 4. Big Data Architecture. 5. Big Data for Data Driven Decisions: Applications. 6. People Component of BDA. 7. Big Data: Privacy, Security and Ethical Concerns. 8. Converging Technologies: Exploring New Dimensions. 9. Introduction to MongoDB. 10. Big Data Analytics with Hadoop. 11. Jasper Report Using Jaspersoft. Index. It was way back in 1990s that the term Big Data was first used. It is used to refer to data that is "huge, overwhelming, and in uncontrollable amounts". Such humongous data can be used for decision making using techniques of data analysis. However, in the last two decades, the volume and speed with which data is generated has changed beyond measures of human comprehension. IDC (International Data Corporation) estimated the newly created data will reach close to 35 zettabytes (35 trillion gigabytes) by 2020. But by 2018 it was already at 33 zettabytes, leading IDC to predict that in 2025, 175 zettabytes (175 trillion gigabytes) of new data will be created around the world. The need to process and analyse these increasingly larger (and unstructured) data sets led to the transformation of traditional data analysis into ';Big Data Analytics' in the last decade. This transformation led to complete transformation of the organizational processes and the strategic decision making and also to the evolution of newer technologies and tools for handling and servicing the Big Data Architecture and Big Data Analytics. This book has been designed for students (both graduates and postgraduates) and practitioners who want to understand all the concepts related to Artificial Intelligence, Big Data and Big Data Analytics, the related terminologies, technologies, and use cases in various domains. The examples and use cases provided in the book do not require a technical or conceptual skill set but an interest in the concerned domain to appreciate the problems and the results and advantages achieved through application of Intelligent Techniques. The book covers the concepts from the standpoint of a novice, so the readers need no prior knowledge of any tool or technology before reading this book. But the readers should have an inclination towards Statistics and Analysis to appreciate and understand the concepts. Nº de ref. del artículo: 137183A
Cantidad disponible: 5 disponibles