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Machine Intelligence Supports Data Scientists

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supby Angela Guess

Scott Howser recently wrote in Smart Data Collective, “Having the technology, team, and overall support in place at the onset will only help data scientists succeed and further augment results. Data scientists rely on software like machine intelligence—focused on human-interpretable results and quick iteration—to create models. If technology is outdated and/or data is unavailable, data scientists are worthless. Oftentimes, data users or analysts fail to set up the problem. They need to ask, ‘What do I need to do to impact the bottom line and work back? And subsequently, ‘Does the data exist to solve this problem?’ If the answer is ‘I don’t know,’ then speed to result is critical. This is where machine intelligence comes in.”

Howser goes on, “Machine intelligence is the new engine driving data science. It leverages a set of algorithms to automatically build transparent predictive and analytical models from raw data, so data scientists can understand what’s happening in the data and why. Machine intelligence searches an infinite equation space to bring the user the simplest, most accurate models possible to explain the data’s behavior without assuming any underlying structure in the data. The technology independently transforms, hypothesizes, tests, and validates in the same way as a data scientist would, but automation and scalable computation resources enable it to repeat this process hundreds of millions of times per second.”

Read more here.

photo credit: Flickr/ lumaxart

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