Sentence examples for algorithms to spot from inspiring English sources

Suggestions(1)

The phrase "algorithms to spot" is correct and usable in written English.
It can be used when discussing methods or techniques that utilize algorithms to identify or detect specific patterns or items.
Example: "Researchers are developing algorithms to spot fraudulent transactions in real-time."
Alternatives: "algorithms to identify" or "algorithms for detecting".

Exact(9)

The winnings were spread from individual traders to proprietary firms that use specialized computer algorithms to spot and profit from market aberrations, including the DRW Trading Group.

For a number of years, security regulators have used well-functioning computer algorithms to spot trades that appear to have taken advantage of insider information — large buys in advance of good news or sells in advance of adversity.

It uses complex algorithms to spot correlations in the warehouse.

For example, in 2011, Ford announced a deal with the search giant Google to use the firm's prediction algorithms to spot trends in large data sets.

Training machine learning algorithms to spot outliers in the data that could indicate opportunities for efficiency, or provide early warning of an upcoming problem, is the primary task of AI within an IoT environment.

The ability of trained algorithms to spot anomalies in vast pools of data makes deep learning networks vulnerable to malicious noise intended to mislead them into making incorrect predictions.

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Similar(51)

These are easy for a machine-vision algorithm to spot.

This is a nontrivial step requiring a machine-learning algorithm to spot and correct errors or omissions.

He then trained a machine-learning algorithm to spot OEIS sequences using Benford's Law and Taylor's Law and to distinguish them from random sequences.

From all this fraudulent activity, they selected a set of 400 fraudulent reviews to train a machine-learning algorithm to spot others like them.

These guys have created a database of iris scans from living people and from dead bodies and then trained a machine-learning algorithm to spot the difference.

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