Increasing advancements in technology leading to higher accuracy of systems fueling market growth
People interact with various systems, which are based on machine learning such as recommender systems, voice recognition systems, and image recognition systems. Rapid advancement in technology in image recognition system has increased the accuracy of the system, which has fueled the demand for machine learning in various systems. For instance, in image labeling challenge, the accuracy of machine learning was 72% in 2010 and it reached to 96% in 2015. The ability of machines to process large volumes of data and to use the data for prediction have made the machine learning a key tool in various applications such as BFSI, healthcare etc.
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