With the Advent of advancement in the field of Artificial Intelligence the computer is made more intelligent and can enable to think and make prediction accurately. The machine learning being a subfield of Artificial Intelligence is used in numerous research works. Different analysts feel that enormous data generated in field of biology have to be sorted in an intelligent way to yield best model. There are numerous kinds of Machine Learning Techniques like Unsupervised, Semi Supervised, Supervised, Reinforcement, and Evolutionary Learning and Deep Learning. These learning’s are used to classify huge data at a rapid pace. This paper discusses about the wide spectrum of Biology and the process of pre-processing data and the best suitable Machine learning model for each of them.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.