Machine learning is often viewed as a new technology, yet the concept of algorithms being applied to machines in order to learn and make predictions based on data has actually been a field of research for over 50 years. Arthur Samuel, an American pioneer in the field of computer gaming, defined machine learning in 1959 as a “field of study that gives computers the ability to learn without being explicitly programmed.” The concept of machine learning really began to flourish in the 1990s with the rise of the Internet and increasing availability of digital information.

It’s no surprise that the hype around machine learning has only increased over the years, especially as data-driven algorithms are being applied more commercially. Machine learning is now viewed as a “silver bullet” for analyzing large data sets in order to predict certain outcomes. The IT sector in particular has taken a strong interest in machine learning-based technology, especially as IT environments become software-defined and are generating large volumes of data in real-time.

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