New Age Analytics Transforming the Internet through Machine Learning, IoT, and Trust Modeling 1st Edition by Gulshan Shrivastava, Sheng Lung Peng, Himani Bansal, Kavita Sharma, Meenakshi Sharma 1000762600 9781000762600

New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling 1st Edition by Gulshan Shrivastava, Sheng-Lung Peng, Himani Bansal, Kavita Sharma, Meenakshi Sharma – Ebook PDF Instant Download/DeliveryISBN:  1000762600, 9781000762600 

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Product details:

ISBN-10 :  1000762600 

ISBN-13 : 9781000762600

Author:  Gulshan Shrivastava, Sheng-Lung Peng, Himani Bansal, Kavita Sharma, Meenakshi Sharma 

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the world of the web have been achieved and how the experiences of users can be analyzed. It looks at data gathering by the various electronic means and explores techniques for analysis and management, how to manage voluminous data, user responses, and more. This volume provides an abundance of valuable information for professionals and researchers working in the field of business analytics, big data, social network data, computer science, analytical engineering, and forensic analysis. Moreover, the book provides insights and support from both practitioners and academia in order to highlight the most debated aspects in the field.

New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling 1st Table of contents:

1. Digital Marketing and Analysis Techniques: Transforming Internet Usage
2. Machine Learning Techniques and Tools: Merits and Demerits
3. Machine Learning and Its Applicability in Networking
4. Machine Learning to Gain Novel Insight on Web Network Analysis
5. Online Trust Evaluation
6. Trust-Based Sentimental Analysis and Online Trust Evaluation
7. Denaturing the Internet Through a Trust Appraisement Paradigm by QoS Accretion
8. Collaborative Filtering in Recommender Systems: Technicalities, Challenges, Applications, and Research Trends
9. Business Application Analytics Through the Internet of Things
10. Business Application Analytics and the Internet of Things: The Connecting Link
11. An Enablement Platform for an Internet of Things Application: A Business Model
12. Social Media Analytics Using R Programming

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Tags: Age Analytics, Transforming, Internet, Machine Learning, Trust Modeling, Gulshan Shrivastava, Sheng Lung Peng, Himani Bansal, Kavita Sharma, Meenakshi Sharma