Data Analytics in Bioinformatics. Группа авторов

0.8366730 0.9415238 T1: Excellent T2: Outstanding Index: 0.5: No Discriminant, 0.6–0.8: Can be considered accepted, 0.8–0.9: Excellent, >0.9: Outstanding

1.11 Conclusion & Future Scope

      The contribution of AI has been significant from the past six decades. It consisted of the sub-domain, Machine Learning that has also made its mark in the field of research. Its main constituent Supervised Learning is highlighted in this chapter along with its different sub techniques such as a k-nearest neighbor algorithm, classification, regression, decision trees, etc. This chapter also depicts the analysis of a popular dataset of Heart Disease [41] along with its numerical interpretations. The implementation was done on python (Google Colab). A small introductory part of unsupervised learning along with reinforcement learning is also depicted in this chapter.

In the future, the research will be continued in the field of supervised learning (i.e. Logistic Regression and Neural Networks) and its subfields and will try to find out more similarities that may enhance the research perspective.

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