Sentence examples for utilize machine learning from inspiring English sources

First, they utilize machine learning to combine internal historical data with external data to create a complete profile of consumer behavior.

Moreover, we show that widely used benchmark datasets may be insufficient for testing structure-based virtual screening methods that utilize machine learning.

In addition, the company says that it has redesigned the overall onboarding experience to utilize machine learning techniques to help get users connected with the artists they like.

This tiny chip complete with 12 cores specializes in enabling low power, advanced computer vision processing which will, no doubt, be a valuable component to "mobilizing" Google's growing list of products that utilize machine learning.

But the flagship feature of the app is a fashion feedback service, called Style Check, which Amazon says will utilize machine learning to rate fashion choices and help users choose between outfit pairs.

These predictors utilize machine learning methods such as support vector machine and k-Nearest Neighbours classification.

The antimicrobial activity prediction tools aim to help the novel antimicrobial peptides (AMP) sequences discovery, utilizing machine learning methods.

Essentially, AI describes any system that utilizes machine learning – computational algorithms, including neural networks and natural language processing – to churn meaning from aggregations of data, finding patterns, making predictions and, crucially, displaying the capacity for self-improvement.

The lawn care company TruGreen is utilizing machine learning to dissect the language used by its best service and sales reps the specific phrases and conversational techniques that lead to positive customer outcomes in order to overhaul the training and coaching reps receive.

We also go over various applications that are enabled by cost-effective and compact implementations of lensless microscopy, including some recent work on air quality monitoring, which utilized machine learning for high-throughput and accurate quantification of particulate matter in air.

This tool utilizes machine learning to prioritize threat detections.