Online published on 18 October, 2019.
Machine learning is a technique that can be used for making machines aware of their environment. This research has presented a comparative analysis of the supervised and the unsupervised learning models and the various patterns used in the classification of the models. The two learning models affect the attainment of real Artificial Intelligence. The research further provided data on an ideal case of machine learning where an algorithm was used to evaluate the accuracy of the learning models as the effect on the car steering angle.
Machine Learning, Deep, supervised, autonomous