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Machine learning is an increasingly important form of cognitive computing, making progress in several application areas. Machine learning often involves big data sets and is computationally challenging, requiring efficient use of resources. The use of cloud computing as the platform for machine learning offers advantages of scalability and efficient use of hardware. It may, however, be difficult to...
Medical care can be improved by efficient analysis of the large amounts of data involved in patient care. Two important challenges for patient care big-data analysis are the need to cope with unstructured images and text (as well as structured data) and the need for efficient methods that scale for large amounts of data generated by the many patients. The framework described here is designed to cope...
Big Data is a term that describes the large volume of data both structured and unstructured that is difficult to process using traditional database and software techniques. Cloud computing is a technology that offers a solution to this problem. We have designed a cloud-based framework for unstructured data analysis that is motivated by the goal of efficient image data analysis. The framework consists...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.