Real-World Applications of Machine Learning

From the real-time forecasting of events to Visual analysis tasks, state-of-the-art machine learning algorithms exhibit unmatched performance. Furthermore, with ongoing traction embedded computing, deployment on mobile devices is receiving increasing attention. There are numerous practical applications where hand-held having methods can be more useful due their compact size and integrated resources. However, for realization ML devices, either used algorithm should less computationally complex or there some efficient way implement a less-powerful device. In this paper, different approaches reducing computational complexity learning-based computer vision application presented that helpful make other such applicable devices. Results show hardware architecture based exploitation further improve performance an existing framework.