Even the best researchers couldn't crack hard problems like image recognition in the real world. And an increasing number of developers are beginning to work on a variety of different, serious machine learning projects as they recognize that machine learning and even deep learning have become more accessible. Developers are beginning to fill roles as data engineers in a "data ops" style of work, where data-focused skills (data engineering, architect, data scientist) are combined with a devops approach to build things such as machine learning systems. Pretty much the most basic skill in building machine learning systems is the ability to look at the history of decisions that two models have made and determine which model is better for your situation.
Sep-14-2017, 10:25:23 GMT