Posts Tagged 'Machine learning'

Old data sets yield new insights into spinal cord injuries

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Through a process they call data driven discovery doctors have discovered a previously unknown relationship between the long-term recovery of spinal cord injury victims and high blood pressure during surgery. They used a combination of topological data analysis and machine learning to find patterns in decades-old research notes and data that had been thought useless. Their overall conclusion was that the process of discovering novel patterns in large datasets has the potential to support outcome assessment, neurocritical care, treatment planning ...

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Framing Machine Learning and Cognitive Computing

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Machine learning and cognitive computing are joined at the hip, but they are surely not one and the same. In this roundtable discussion, five professionals specializing in machine learning, analytics, data science, information architecture, and management consulting struggle to offer informed perspectives about both the state of the art of the technologies and the readiness of enterprises to benefit from them. Originally published in IEEE IT Professional magazine.

Read the Discussion on InfoQ

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Master Algorithm. Really?

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Daniel Levitin crafts an interesting review of Pedro Domingo’s recent book The Master Algorithm. Author, neuroscientist, musician, Levitin brings all of these fields into play in visiting the ground of learning algorithms, their effectiveness, their limitations, their future(s), and their implications. Both Domingo and Levitin are resources of value to anyone thinking about cognitive computing.

Read More at WSJ

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