This paper is published in Volume-4, Issue-3, 2018
Area
Machine Learning
Author
Ashwini Dhoke, Sarika Kadam, Shital Sungare
Org/Univ
Dr. D. Y. Patil Institute of Technology, Pune, Maharashtra, India
Pub. Date
04 June, 2018
Paper ID
V4I3-1722
Publisher
Keywords
Machine learning, Supervised learning, Decision tree, Support vector machine (SVM), Neural network

Citationsacebook

IEEE
Ashwini Dhoke, Sarika Kadam, Shital Sungare. Machine learning: Trends and applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ashwini Dhoke, Sarika Kadam, Shital Sungare (2018). Machine learning: Trends and applications. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Ashwini Dhoke, Sarika Kadam, Shital Sungare. "Machine learning: Trends and applications." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

As in past fifteen years with the ton of data accessible, machine learning has become one in each of the mainstays of data technology and thereupon, a rather central, albeit sometimes hidden, a part of our life. With the ever-increasing amounts of information changing into accessible, there's the sensible reason to believe that good data analysis can become additional pervasive as a necessary ingredient for technological progress. Machine learning is leverage of self-learning behavioral model. Through the past learning experience, the machine is used to extract hidden value from raw data. Data-intensive nature of machine learning makes it useful in the various aspect of life such as healthcare, marketing, automotive industry, information retrieval, intrusion detection, education and so on. This paper takes a review of various machine learning trends and application.