Big Data, IoT, and Machine Learning: Tools and Applications (Internet of Everything IoE) - Image 1

£113.00

CRC Press Big Data, IoT, and Machine Learning: Tools and Applications (Internet of Everything IoE)

Name: Big Data, IoT, and Machine Learning: Tools and Applications (Internet of Everything IoE)
Brand: CRC Press
Price: 113.0 GBP
Availability: InStock

Commercial

It has never been this cheap. We have no record of a lower price.

£113 today · cheaper than every other day in the last 11 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 207 days • 207 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 207 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £113 (192 days, 92.8%)

Price range: £113 - £137

Price levels: 2 different prices over 207 days

Description

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 About the Author Rashmi Agrawal is a PhD and UGC-NET qualified, with 18-plus years of experience in teaching and research. She is presently working as a Professor in the Department of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad. She has authored/co-authored more than 50 research papers, in various peer-reviewed national/international journals and conferences. She has also edited/authored books and chapters with national/international publishers (IGI global, Springer, Elsevier, CRC Press, Apple academic press). She has also obtained two patents in renewable energy. Currently she is guiding PhD scholars in Sentiment Analysis, Educational Data Mining, Internet of Things, Brain Computer Interface, Web Service Architecture and Natural language Processing. She is associated with various professional bodies in different capacities, a Senior Member of IEEE, a Life Member of Computer Society of India, IETA, ACM CSTA and a Senior Member of Science and Engineering Institute (SCIEI). Marcin Paprzycki is an Associate Professor at the Systems Research Institute, Polish Academy of Sciences. He has an MS from Adam Mickiewicz University in Poznań, Poland, a PhD from Southern Methodist University in Dallas, Texas, and a Doctor of Science from the Bulgarian Academy of Sciences. He is a senior member of IEEE, a senior member of ACM, a Senior Fulbright Lecturer, and an IEEE CS Distinguished Visitor. He has contributed to more than 450 publications and was invited to the program committees of over 500 international conferences. He is on the editorial boards of 15 journals. Neha Gupta has completed her PhD at Manav Rachna International University, and she has a total of 14-plus years of experience in teaching and research. She is a Life Member of ACM CSTA, Tech Republic and a Professional Member of IEEE. She has authored and co-authored 34 research papers in SCI/SCOPUS/peer reviewed journals (Scopus indexed) and IEEE/IET conference proceedings in the areas of Web Content Mining, Mobile Computing and Cloud Computing. She has published books with publishers such as IGI Global and Pacific Book International and has also authored book chapters with Elsevier, CRC Press and IGI Global USA. Her research interests include ICT in Rural Development, Web Content Mining, Cloud Computing, Data Mining and NoSQL Databases. She is a Technical Programme Committee (TPC) member in various conferences across the globe. She is an active reviewer for the International Journal of Computer and Information Technology and in various IEEE Conferences.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 036733674X
Category: Books > Subjects > Arts & Photography > Graphic Arts > Commercial
Domain: Amazon UK
Release Date: 30 July 2020
Listed Since: 07 March 2020

Barcode

No barcode data available

CRC Press Big Data, IoT, and Machine Learning: Tools and Applications (Internet of Everything IoE)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Handbook of Research on Deep Learning Innovations and Trends (Advances in Computational Intelligence and Robotics)

Proceedings of the Third International Conference on Computational Intelligence and Informatics: ICCII 2018: 1090 (Advances in Intelligent Systems and Computing, 1090)

Impacts and Challenges of Cloud Business Intelligence

Information Science Reference - Biometric Authentication Book

Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceeding of the 16th International Conference on IIHMSP in conjunction ... Innovation, Systems and Technologies, 211)

Impacts and Challenges of Cloud Business Intelligence (Advances in Systems Analysis, Software Engineering, and High Performance Computing)

Fuzzy Expert Systems and Applications in Agricultural Diagnosis

Challenges and Applications for Implementing Machine Learning in Computer Vision (Advances in Computer and Electrical Engineering)

New Challenges for Intelligent Information and Database Systems: 351 (Studies in Computational Intelligence, 351)

Applications of Artificial Neural Networks for Nonlinear Data (Advances in Computational Intelligence and Robotics)

Integrated Intelligent Computing, Communication and Security: 771 (Studies in Computational Intelligence, 771)

ICT Analysis and Applications: Proceedings of ICT4SD 2020, Volume 2: 154 (Lecture Notes in Networks and Systems, 154)

Concurrency Control And Recovery In OLTP Systems: High Scalability And Availability: 9 (East China Normal University Scientific Reports)

Recent Advances on Memetic Algorithms and its Applications in Image Processing: 873 (Studies in Computational Intelligence, 873)

Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science (Advances in Data Mining and Database Management)

Machine Learning and Information Processing: Proceedings of ICMLIP 2019: 1101 (Advances in Intelligent Systems and Computing, 1101)

Advances in Internet, Data & Web Technologies: The 6th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2018): 17 ... and Communications Technologies, 17)

Nature-Inspired Computation in Data Mining and Machine Learning: 855 (Studies in Computational Intelligence, 855)

Artificial Intelligence for Renewable Energy systems (Woodhead Publishing Series in Energy)

Proceedings of International Conference on Computational Intelligence and Data Engineering: Proceedings of ICCIDE 2018: 28 (Lecture Notes on Data Engineering and Communications Technologies, 28)

Data Engineering for Smart Systems: Proceedings of SSIC 2021: 238 (Lecture Notes in Networks and Systems, 238)

Intelligent Systems in Big Data, Semantic Web and Machine Learning: 1344 (Advances in Intelligent Systems and Computing, 1344)

Intelligent Data Analysis for COVID-19 Pandemic (Algorithms for Intelligent Systems)

Advances in Internet, Data & Web Technologies: The 10th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2022): 118 ... and Communications Technologies, 118)