Challenges And Applications Of Data Analytics In Social Perspectives
Download Challenges And Applications Of Data Analytics In Social Perspectives PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Challenges And Applications Of Data Analytics In Social Perspectives book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Challenges and Applications of Data Analytics in Social Perspectives
With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.
Role of Emerging Technologies in Social Science
Author: Hitesh Mohapatra
language: en
Publisher: Cambridge Scholars Publishing
Release Date: 2024-08-16
In today’s world, technology has seamlessly woven itself into the fabric of our social existence, leaving an indelible mark. This book aims to illuminate the far-reaching impact of technology across various aspects of our lives, including business, commerce, lifestyle, sentiment analysis, and transportation. It delves into both the advantages and drawbacks of technology, emphasizing the need for a delicate balance between our social interactions and its pervasive influence. In today’s interconnected world, technology profoundly influences our social fabric. This book explores its impact across diverse domains—business, commerce, lifestyle, sentiment analysis, and transportation. It delves into both advantages and drawbacks, emphasizing the delicate balance between social interactions and technology, and guides aspiring researchers through cutting-edge topics like blockchain, the Internet of Things, AI, and machine learning. Key takeaways include understanding tech’s role, evaluating pros and cons, and exploring future research. The book caters to universities, graduate colleges, and research centers.
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
Author: Aboul Ella Hassanien
language: en
Publisher: Springer Nature
Release Date: 2020-12-14
This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.