Source | www.numericalinsights.com
Algorithm: one of the best-sounding words in the English language and one of the most powerful problem-solving tools for decades.
With an increase in computing power over the past several decades, came an increase in the number of ways to use algorithms to solve problems previously too computationally intensive to solve. Today, we reference a subset of these algorithms as machine learning.
Machine learning (ML) is the process of teaching a computer system how to make accurate predictions when it is fed data. Essentially, the computer is being programmed how to learn based on a set of training data.
EXAMPLES OF MACHINE LEARNING BEING USED IN HUMAN RESOURCES
To date, it is difficult to find a wide range of examples of machine learning being applied to HR. Below are a few examples for reference.
Job candidate identification: Glassdoor and LinkedIn use ML algorithms to look for candidates.
Google has tools to analyze job candidate attributes and proactively present them with positions aligned to their skills, experience, and personality.