tools and applications Agrawal, Rashmi editor. Paprzycki, Marcin editor. Gupta, Neha editor. text bibliography flu 2021 2021 First edition. monographic eng 1 online resource (xvii, 319 pages) : illustrations (some color). 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 general edited by Rashmi Agrawal, Marcin Paprzycki, Neha Gupta. Big data Internet of things Machine learning COMPUTERS / Database Management / Data Mining QA76.9.B45 B54 2021 005.7 9781000098280 1000098281 9781000098303 1000098303 9780429322990 0429322992 9781000098297 100009829X https://www.taylorfrancis.com/books/9780429322990 http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf https://www.taylorfrancis.com/books/9780429322990 http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf OCoLC-P 200618 20260210180735.0 9780429322990 eng