The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Machine Learning Algorithms
|
Author(s): Namrata Dhanda (Amity University, India), Stuti Shukla Datta (Amity University, India)and Mudrika Dhanda (Royal Holloway University, UK)
Copyright: 2019
Pages: 24
Source title:
Computational Intelligence in the Internet of Things
Source Author(s)/Editor(s): Hindriyanto Dwi Purnomo (Satya Wacana Christian University, Indonesia)
DOI: 10.4018/978-1-5225-7955-7.ch009
Purchase
|
Abstract
Human intelligence is deeply involved in creating efficient and faster systems that can work independently. Creation of such smart systems requires efficient training algorithms. Thus, the aim of this chapter is to introduce the readers with the concept of machine learning and the commonly employed learning algorithm for developing efficient and intelligent systems. The chapter gives a clear distinction between supervised and unsupervised learning methods. Each algorithm is explained with the help of suitable example to give an insight to the learning process.
Related Content
Rachna Rana, Pankaj Bhambri.
© 2025.
30 pages.
|
Rachna Rana, Pankaj Bhambri.
© 2025.
42 pages.
|
Neeta Baporikar.
© 2025.
42 pages.
|
Ananya Pandey, Jipson Joseph, Manshu Goyal.
© 2025.
24 pages.
|
Usharani Bhimavarapu.
© 2025.
16 pages.
|
Supriya Dam.
© 2025.
32 pages.
|
Nina Lestari, Nur Azizah Wahyuni, Muhammad Younus, Andi Luhur Prianto, Aqmal Reza Amri, Ahmad Harakan, Achmad Nurmandi, Hajira Gul, Ibrahim Shah, Ihyani Malik.
© 2025.
32 pages.
|
|
|