Name: Big Data, Iot, and Machine Learning: Tools and Applications (Internet of Everything (Ioe)) (en Inglés)
SKU: 64009622
Price: 62.88 USD
Availability: InStock
Author: Agrawal Rashmi,Paprzycki Marcin,Gupta Neha

portada Big Data, Iot, and Machine Learning: Tools and Applications (Internet of Everything (Ioe)) (en Inglés)

Big Data, Iot, and Machine Learning: Tools and Applications (Internet of Everything (Ioe)) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Agrawal Rashmi,Paprzycki Marcin,Gupta Neha

Idioma

Inglés

N° páginas

319

Encuadernación

Tapa Blanda

ISBN13

9780367531218

N° edición

Big Data, Iot, and Machine Learning: Tools and Applications (Internet of Everything (Ioe)) (en Inglés)

Agrawal Rashmi,Paprzycki Marcin,Gupta Neha (Autor) · Crc Press · Tapa Blanda

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Reseña del libro "Big Data, Iot, and Machine Learning: Tools and Applications (Internet of Everything (Ioe)) (en Inglés)"

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools.This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them.Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases