Abstract
Abstract Artificial intelligence is having subpart called Machine learning. Understanding the essence of information and fitting the information into structures or models. Human beings understand and use these models. We are addressing the attributes, needs and different forms of machine learning in this paper. Also we focused on different steps used and applications of machine learning. We are discussed about two algorithms named as K-means algorithm and K nearest neighbours algorithm. After comparing these two algorithms we find K nearest neighbours is a simple algorithm of classification. By using these machine learning algorithms we design and implement a new health risk predication system for children under five years old in future. Because children under the age of five are more susceptible to diseases and 6.3 million children die each year and more than half of deaths are due to lack of early prevention or early treatment. This automation presents the results of our investigation on children health risks.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have