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Published in:
2017 | OriginalPaper | Chapter
4. Reinforcement and Deep Reinforcement Machine Learning
Author : Parag Kulkarni
Published in: Reverse Hypothesis Machine Learning
Publisher: Springer International Publishing
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Abstract
Data-driven learning is a very strong concept. This concept is chased and converted into wonderful applications. Whole stream of Data Engineering and Data Sciences emerged out of that. The data is collected from various sources. It is collected from big hospitals, data repositories, from cookies running in your machines, intelligent applications running in your devices. It can be crowd sourcing, intelligent crowd sourcing, cognitive data sharing, and mind sharing. The intelligent data collection and usage delivered applications which proved that crowd is always ahead of everyone. It has gone from power of two, to power of few, to power of crew, to power of many.