Machine Learning in Construction: Turning Data…

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Phil Puccio

If you’ve ever used Google Maps, then you’ve used a technology solution that leverages machine learning.

Simply put, machine learning uses computer algorithms to recognize patterns in large data sets and predict outcomes.

In some machine learning applications, computers are initially programmed to learn how to solve problems, but can change and improve algorithms themselves, making predictions faster and more accurate. Essentially, it helps find the needle in a haystack of data, taking in large amounts of complex data and identifying patterns to deliver reliable, effective, and repeatable results.

For example, according to the Google Research Blog, the company has introduced machine learning to Google Maps to improve the user experience of the service. The algorithms help the app extract street names and house numbers from photos taken by Google’s “Street View” cars and increase the accuracy of the search results. With over 80 billion high-resolution photos collected of Street View cars, manually analyzing these images would have been impossible; Instead, Google’s finely tuned machine learning algorithms automatically extract information from geolocated images.

Although machine learning and artificial intelligence (AI) are sometimes used interchangeably, they are different.

Machine learning is the technique that has most successfully made its way out of the lab and into the real world, while AI is a broad field, covering areas such as robotics and natural language processing. Machine learning is also often mistaken for simply using averages or statistics. Instead, it requires a complex process of understanding and preparing the analyzed data, developing algorithms that produce valuable predictions and results, and testing and refining the algorithms to ensure accuracy.

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Original Source: https://www.viewpoint.com/blog/machine-learning-making-your-data-work-harder-for-you
Category – Construction

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