How and where you use machine-learning
Darren Yates looks at some practical examples that make use of this maths-meets-computing platform.
We’re all pretty familiar with the concept of autonomous vehicles, whether you’re a fan of driverless cars or the Boston Dynamics ‘Atlas’ robots that leap over obstacles with human-like agility (bostondynamics.com/ atlas). But unless you have your own car corporation or financing your own squad of robots, it can be difficult to get a handle on just how machine-learning is applicable in your own applications or your own business. This month, we’re looking at some practical applications of machine-learning and how it fits into the bigger world of knowledge discovery.
CASE STUDIES
One of the best ways to) is Google’s search site for research, including peer-reviewed published papers and new unpublished ‘pre-print’ work. While a lot of the published work is ‘pay-per-view’, there’s plenty that is freely accessible via download, going back to Alan Turing’s ground-breaking paper on ‘Computing Machinery and Intelligence’ and beyond.
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