A Review Paper on Machine Learning Applications, Advantages, and Techniques
Neelam Dahiya, Sheifali Gupta, Sartajvir Singh
Abstract
With the enlightenment of knowledge and the inception of databases in large number, how to fetch the important information from the raw data is the major problem which is needed to be solved. Machine learning is a technique which is helpful in solving this issue with more accuracy and in a faster way. Machine learning working process is to train the data and the algorithm develops some rules, based on that learning, evaluation is done with the test data to generate results without human intervention. This paper portrays the various application areas of machine learning, along with its advantages and drawbacks. This paper also describes the various supervised and unsupervised algorithms with their categories, which are used to solve various problems. This paper will help the researcher in finding various application areas of machine learning and also help the researcher in selection of particular techniques according to the situation. Moreover, the researcher can also learn the detailed knowledge about machine learning. This work can be extended further with comparison of machine learning and deep learning techniques. This area has vast scope and is helpful for the researcher in detection of various crop problems, and disease detection like cancer detection, skin problems, etc.