Click Here to Download: https://ouo.io/8Pr2LM Data Science and Big Data Analytics ACM-WIR 2018 By: Durgesh Kumar Mishra Publisher: Springer Print ISBN: 9789811076404, 9811076405 eText ISBN: 9789811076411, 9811076413 Copyright year: 2019 Format: EPUB Available from $ 209.00 USD SKU 9789811076411 This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.
Data Science and Big Data Analytics involve extracting meaningful insights from large and complex datasets. Data Science combines statistics, machine learning, and domain knowledge to analyze structured and unstructured data. Big Data Analytics focuses on processing vast volumes of data using tools like Hadoop, Spark, and cloud computing. Together, they help organizations make data-driven decisions, predict trends, and improve performance. Applications span healthcare, finance, marketing, and more. As data grows exponentially, these fields play a critical role in uncovering patterns, optimizing processes, and driving innovation. Proficiency in programming, data visualization, and analytical thinking is essential in this dynamic domain.
