A guide to machine learning

Machine learning (the subfield of computer science that, according to Arthur Samuel, “gives computers the ability to learn without being explicitly programmed”) is one of the most innovative and interesting fields of modern science around today. Something that you probably associate with things such as Watson, Deep Blue, and even the infamous Netflix algorithm. However, as sparkly as it is, machine learning isn’t exactly something totally new. In fact, the concept and science of machine learning has been around for much longer than you think.

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AI and IBM Watson Fuel Interest in App Dev among Mainframe Shops

BMC’s 2016 mainframe survey, covered by DancingDinosaur, both directly and indirectly pointed to increased activity in regard to data center applications. Mainly this took the form of increased interest in Java on the z as a platform for new applications. Specifically, 72 percent of overall respondents reported using Java today, while 88 percent reported plans to increase their use of Java. At the same time, the use of Linux on the z has been steadily growing year over year: 41 percent in 2014, 48 percent in 2015, 52 percent in 2016. This growth of both Linux and Java point to a heightened interest in application development, management, and change.

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