Machine learning and big data : Concepts, algorithms, tools and applications

Machine learning and big data : Concepts, algorithms, tools and applications

Author
Uma N. Dulhare, Khaleel Ahmad, Khairol Amali Bin Ahmad
Publication Year
2020
Publisher
Wiley-Scrivener
Language
English
Document Type
Book
Faculty / Subject Heading
Computer Science

Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention


Keywords: Machine learning / Big data / Pattern Recognition / Data preprocess / Machine Learning / Algorithms / Multi-Variate Datasets / Unsupervised Learning / Semi-Supervised Learning / Reinforcement Learning / Transfer Learning / Intrusion Detection System /