Machine learning is one element (perhaps the driving force) of AI, whereby a computer is programmed with the ability to self-teach and improve its performance of a specific task. In essence, machine learning is all about analyzing big data — the automatic extraction of information and using it to make predictions, decipher whether the prediction was correct, and if incorrect, learning from that to make a more correct prediction in the future.
Machine learning is being increasingly integrated into all industries and every facet of our workday and leisure time — through the automation of manual labor, improving our connectivity and the way we live and shaping the future of AI and the internet of Things (IoT).
How machine learning affects work life
Machine learning has the potential to automate a large portion of skilled labor, but the degree to which this affects a workforce depends on the level of difficulty involved in the job. ML at present allows the automation of singular tasks, whereas many jobs involve multiple tasks and even multitasking at a level ML isn’t capable of yet.
This article originally appeared on entreprenuer.com. To read the full article, click here.
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