Surgical Robots in Smart Hospitals

6Top Algorithms in Machine Learning for Predicting Insights in Smart Applications

Nareen Jan^1*, Javaid A. Sheikh¹, Immad A. Shah² and Tanuj Surve³

¹Department of Electronics and Instrumentation Technology, University of Kashmir, Hazratbal, J&K, India

²Department of Agricultural Statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology, Shalimar, India

³Department of Management, University of California, Berkeley, USA

Abstract

In the long run, machine learning (ML)–driven systems will be more proficient and further contribute at everything across multiple fields. A machine’s capability to replicate human thoughts and actions through exposure to data is referred to as machine learning. Being a relatively new aspect of the educational and technological sectors, the use of artificial intelligence has certainly improved human life in many ways. Especially with the development of the digital society, making the use of artificial intelligence has emerged a common phenomenon. It has evolved into one of the key technologies of the modern world and is used in healthcare, education, transportation, and finance, among other areas. This chapter is dedicated to explaining how machine learning algorithms work as the fundamental principles of AI and how they can be used for making predictions and developing smart systems that improve real-life processes. Using computational power, large amounts of data, and complex structures like neural networks, supervised and unsupervised ...