AI Terms

Zero party data

By Yenna Chong / November 16, 2022 / Comments Off on Zero party data

Data a person intentionally and proactively shares with an organization. This may include things like preference center data, what the person intends to purchase, and how they want the brand to recognize them and interact with them.

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Weight

By Yenna Chong / November 16, 2022 / Comments Off on Weight

A way of indicating how much a particular feature contributes to a model.

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Variable

By Yenna Chong / November 16, 2022 / Comments Off on Variable

Also called a data field, feature, or variable, this is a specific category of information found in a record. For instance, if you have a record of a donor that includes their name, height, weight, address, and phone number, those five pieces of information are variables. We prefer the term data field.

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Validation data

By Yenna Chong / November 16, 2022 / Comments Off on Validation data

Data used for tuning hyperparameters and comparing different models to determine the best ones. This has to be different from training data, and can’t be used in the training phase, or you’re at risk of overfitting (creating a model that matches training data so closely that the model is unable to make correct predictions with…

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Unsupervised learning

By Yenna Chong / November 16, 2022 / Comments Off on Unsupervised learning

Where a program, given a data set, can automatically find patterns and relationships in that data set.

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Training data

By Yenna Chong / November 16, 2022 / Comments Off on Training data

Data used by a machine learning algorithm to train a model. It consists of positive training data and negative training data, and is used to teach the model patterns and to determine which features are more important during prediction.

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Third-party data

By Yenna Chong / November 16, 2022 / Comments Off on Third-party data

Aggregated information collected from multiple sources by organizations that do not have a direct relationship with the person whose data’s being collected. This differs from first-party data (information an organization has collected about their contacts themselves) or second-party data (collected by another organization.)

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Test data

By Yenna Chong / November 16, 2022 / Comments Off on Test data

Also called a hold-out, it’s a third and final test set used to simulate the model’s behavior on completely unseen data. (Data that wasn’t used in building the model or in choosing which model to use.)

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Target value

By Yenna Chong / November 16, 2022 / Comments Off on Target value

The label you want to predict using a machine learning model.

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Target data

By Yenna Chong / November 16, 2022 / Comments Off on Target data

The data used to generate recommendations using a machine learning model.

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