It provides a management GUI, a slew of scientifically oriented work environments, and tools to simplify the process of using Python for data crunching

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Ben Lorica, O’Reilly’s chief data scientist, has posted slides and notes from his talk at last December’s Strata Data Conference in Singapore, “We need to build machine lear…

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A machine learning and imaging analytics model outperformed traditional assessments of kidney function in patients with CKD.

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Using sentiment analysis and natural language processing, neural networks are being developed to help in the creative process.

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A lot of big banks have already deployed mobile apps in an effort to keep up with shifting consumer trends, which are rapidly moving toward the complete digitization of the sector.

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The explosive growth in machine learning has been fueled by open source tools. We take a look at 5 of our favorite ML frameworks for Java and Python.

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What investors need to know about machine learning, and why we’re really on the cusp of a breakthrough.

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Looking for an exciting new job in a hot field that pays well? Master machine learning technologies with these skills and jumpstart your IT career.

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Deep learning is a subset of machine learning, and both are subsets of artificial intelligence.

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While Facebook's M assistant received attention, it was never as big of a deal for the company as understanding the meaning of text, images and videos.

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