Examples of using Patterns in the data in English and their translations into Chinese
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Programming
Some patterns in the data are worth noting.
She used watercolor drawings to help her see patterns in the data.
These self-discovered patterns in the data then help AI to solve various business challenges like.
They were merely finding statistical patterns in the data.
It spots patterns in the data that would have been impossible to identify using traditional business intelligence.
Kohonen Neural Network is used to recognize patterns in the data.
Machine learning helps us detect patterns in the data and uncover features that we might not otherwise have seen,” Miller said.
Automatic discovery of structured relationships and patterns in the data.
You are expected to identify hidden patterns in the data, explore and analyze the dataset.
A recent study has investigated around100,000 localized seismic events to search for patterns in the data.
A machine learning model looks for patterns in the data and tries to conclude.
Yeah, they're looking for trends or anomalies and patterns in the data that hopefully would lead to an insight.
Because machine learning can only detect patterns in the data that it is given, any bias in the original sample will only be amplified.
To make better sense of the data, an analyst first needs to observe essential patterns in the data.
Descriptive models capture patterns in the data but they don't provide any information about why the data contains those patterns. .
They are called unsupervised as itis left on the learning algorithm to figure out patterns in the data provided.
BI software interprets a sea of quantifiable customer and business actions andreturns queries based on patterns in the data.
These analyses mix interactive code snippets alongside prose,and can help offer a birds-eye view of the data or tease out patterns in the data.
During training, the network is“shown” vast volumes of data, and each neuron becomes a specialist at recognizing particular patterns in the data.
Other popular methods included Bayesian networks, the support vector machine and evolutionary algorithms,all of which use different approaches to finding patterns in the data.