Which of the following are sources of data that can be used for machine learning

Readings from sensors such as temperature, pressure, pH monitors, etc.

Government data such as census results.

Personal data collected without permission

Data collected by a business about their own operations

Data collected by a business about their customers

Text data from the Internet, such as Amazon reviews or Wikipedia

Data handwritten in a notebook

Government archives

Data purchased from third party data “brokers”

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The security of the data, so that it isn’t easily lost or stolen

The proper consent of the original owners of the data

The anonymization of the data, as much as is possible

The representativeness of the data

The fair treatment of the people collecting and processing the data

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It can’t; data is data and it reflects the real world

It might include data collected under different conditions, and so not reflect operational data

It might not include enough training data on a range of gender and ethnic groups, and so not reflect operational data

It might not include data from underrepresented socioeconomic groups, and so not reflect real-world data

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When data from different sources have variations that aren’t meaningful, but the algorithm takes as meaningful

When you train your QuAM several times in different batches

When hospitals don’t have the same scan results

When data from different times have included measurements of different things

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Learning data and operational data need to be in the same format

Long term data storage is never a concern

Automating data retrieval is a straight-forward process

Transformed data will need to be accessible to your QuAM

Machine learning is an ongoing process, so new, incoming data is important

Features that were used in the learning data must be present in operational data

Integrating data from multiple sources can cause formatting issues

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Which of the following are sources of data that can be used for machine learning

Understanding Data for ML >>> Which of the following are sources of data that can be used for machine learning >>> Introduction to Applied Machine Learning

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W​hich of the following are sources of data that can be used for machine learning

What type of machine learning is the spam filter on your email platform that automatically sends suspicious emails to your spam folder

Machine learning systems do things like mistake a woman's hair for a cat or think that the name of a band from Montreal could be part of a familiar saying because

What is Artificial Intelligence

Which of the following statements about the Machine Learning Process Lifecycle are true

Which of the following are sources of data that can be used for machine learning