Applications of Machine Learning Algorithms in Data Sciences

Adeel Ansari (), Seema Ansari (), Fatima Maqbool (), Rabia Zaman () and Kubra Bashir ()
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Adeel Ansari: Shaheed Zulfikar Ali Bhutto Institute of Science & Technology
Seema Ansari: Institute of Business Management
Fatima Maqbool: Shaheed Zulfikar Ali Bhutto Institute of Science & Technology
Rabia Zaman: Institute of Business Management
Kubra Bashir: Institute of Business Management

A chapter in Sustainability, 2023, pp 53-66 from Springer

Abstract: Abstract Machine Learning, a branch of artificial intelligence (AI) and computer science, focuses on the usage of data and algorithms to copy the humans learning method, slowly increasing its accurateness. The chapter aims at discussing the applications of the machine learning algorithms, essential for developing predictive modeling and for carrying out classification and prediction in both supervised and unsupervised scenarios. The Machine Learning techniques have been applied to many application domains as a result of a humongous amount of data being created, processed, and mined from the evolution of the World Wide Web, mobile applications, and the rise of social media applications. Some of these applications are virtual personal assistants, predictions, surveillance, social media services, malware filtering, search engine result refining, and online fraud detections. The chapter includes the introduction, State of the Art, Machine Learning Algorithms, Applications of Machine Learning Algorithms in data sciences, followed by conclusion and future recommendations.

Keywords: Artificial intelligence; Big data; Data mining; Data science; Machine learning; Neural networks (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-16620-4_4

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