Mastering Disruptive Technologies- Applications of Cloud Computing, IoT, Blockchain, Artificial Intelligence & Machine Learning Techniques (1, #1) (eBook, ePUB)
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About the Book:The book is divided into 4 modules which consist of 21 chapters, that narrates briefly about the top five recent emerging trends such as: Cloud Computing, Internet of Things (IoT), Blockchain, Artificial Intelligence, and Machine Learning. At the end of each module, authors have provided two Appendices. One is Job oriented short-type questions with answers, and the second one provide us different MCQs with their keys.Salient Features of the Book:1. Detailed Coverage on Topics like: Introduction to Cloud Computing, Cloud Architecture, Cloud Applications, Cloud Platforms, Open-Sou...
About the Book:
The book is divided into 4 modules which consist of 21 chapters, that narrates briefly about the top five recent emerging trends such as: Cloud Computing, Internet of Things (IoT), Blockchain, Artificial Intelligence, and Machine Learning. At the end of each module, authors have provided two Appendices. One is Job oriented short-type questions with answers, and the second one provide us different MCQs with their keys.
Salient Features of the Book:
1. Detailed Coverage on Topics like: Introduction to Cloud Computing, Cloud Architecture, Cloud Applications, Cloud Platforms, Open-Source Cloud Simulation Tools, and Mobile Cloud Computing.
2. Expanded Coverage on Topics like: Introduction to IoT, Architecture, Core Modules, Communication models and protocols, IoT Environment, IoT Testing, IoT and Cloud Computing.
3. Focused Coverage on Topics like: Introduction to Blockchain Technology, Security and Privacy component of Blockchain Technology, Consensus Algorithms, Blockchain Development Platform, and Various Applications.
4. Dedicated Coverage on Topics like: Introduction to Artificial Intelligence and Machine Learning Techniques, Types of Machine Learning, Clustering Algorithms, K-Nearest Neighbor Algorithm, Artificial Neural Network, Deep Learning, and Applications of Machine Learning.
5. Pictorial Two-Minute Drill to Summarize the Whole Concept.
6. Inclusion of 300 Job Oriented Short Type Questions with Answers for the aspirants to have the Thoroughness, Practice and Multiplicity.
7. Around 178 Job Oriented MCQs with their keys.
8. Catch Words and Questions on Self-Assessment at Chapter-wise Termination.
The book is divided into 4 modules which consist of 21 chapters, that narrates briefly about the top five recent emerging trends such as: Cloud Computing, Internet of Things (IoT), Blockchain, Artificial Intelligence, and Machine Learning. At the end of each module, authors have provided two Appendices. One is Job oriented short-type questions with answers, and the second one provide us different MCQs with their keys.
Salient Features of the Book:
1. Detailed Coverage on Topics like: Introduction to Cloud Computing, Cloud Architecture, Cloud Applications, Cloud Platforms, Open-Source Cloud Simulation Tools, and Mobile Cloud Computing.
2. Expanded Coverage on Topics like: Introduction to IoT, Architecture, Core Modules, Communication models and protocols, IoT Environment, IoT Testing, IoT and Cloud Computing.
3. Focused Coverage on Topics like: Introduction to Blockchain Technology, Security and Privacy component of Blockchain Technology, Consensus Algorithms, Blockchain Development Platform, and Various Applications.
4. Dedicated Coverage on Topics like: Introduction to Artificial Intelligence and Machine Learning Techniques, Types of Machine Learning, Clustering Algorithms, K-Nearest Neighbor Algorithm, Artificial Neural Network, Deep Learning, and Applications of Machine Learning.
5. Pictorial Two-Minute Drill to Summarize the Whole Concept.
6. Inclusion of 300 Job Oriented Short Type Questions with Answers for the aspirants to have the Thoroughness, Practice and Multiplicity.
7. Around 178 Job Oriented MCQs with their keys.
8. Catch Words and Questions on Self-Assessment at Chapter-wise Termination.
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