What is an Assumption in AI modeling?

A hypothesis or premise used to build a model.

What is an Attack Surface?

The collection of possible vulnerabilities in a system.

What is AUC (Area Under the Curve)?

A metric used to measure the performance of a classification model.

What is Azure Machine Learning?

A cloud-based service for building, training, and deploying machine learning models.

The systematic error introduced by a model.

What does Binary mean in AI?

A classification problem with two possible outcomes.

What is Classification in AI? Options: Grouping similar data points without labels., Predicting numerical outcomes for data inputs., Assigning categories to input data based on learned patterns., Eliminating outliers from datasets.

Assigning categories to input data based on learned patterns.

What is Concept Drift in AI?

A shift in the distribution of data over time that affects model performance.

What is a Confusion Matrix?

A table used to evaluate the performance of classification algorithms.

What is a Constraint in AI?

A limitation or condition that a model must satisfy.

What does Correlation mean in AI?

A measure of the relationship between two variables.

What is Data at Rest?

Data stored on physical or virtual devices not actively being transferred.

What is Data Drift in AI?

A mismatch between the training and real-world data distributions.

What is Data in Transit?

Data actively being transferred between locations or systems.

What is a Data Type in AI?

The classification of data based on its format or structure.

What is a Decision Tree Algorithm?

A predictive model that uses a tree-like structure for decision-making.

What does Decommission mean in AI systems?

Retiring or removing a model or system from active use.

What is a Deep Learning Algorithm?

An algorithm using neural networks with many hidden layers.

What is a Degraded Mode of Operation?

A reduced functionality state when a system encounters issues.

What is a Derived Feature in AI?

A feature created by combining or transforming existing features.

What is a Drift Detector in AI?

A tool used to identify and measure data or concept drift.

What is Edge Case Testing in AI?

Testing a model on extreme or rare scenarios to evaluate robustness.

What is an Explainability Requirement in AI?

A constraint that requires a model to provide interpretable results.

What is an Explainability Requirement in AI?

A constraint that requires a model to provide interpretable results.

What is the F1 Score in AI?

A metric balancing precision and recall.

What is a False Negative?

A model failing to identify a positive instance.

What is a False Positive?

A model incorrectly predicting a positive outcome.

What is a Feature in AI?

A characteristic or property used as input in a model.

What is a Feature Vector?

A collection of features represented numerically.

What is a Feedback Mechanism in AI?

A system providing outputs to improve future predictions.

General Data Protection Regulation.

A platform for version control and code collaboration.

What is Imbalanced Data?

Data where one class is overrepresented compared to others.

What is Interpretability in AI?

The ease of understanding a model's predictions.

What is Iteration in AI?

A single step in model training or optimization.

What is K-Means Clustering?

An unsupervised algorithm that partitions data into k clusters.

What is Labeled Data?

Data with associated target labels or annotations.

What is Linear Regression?

A regression model for predicting continuous variables.

A record of events or processes.

What is Logistic Regression?

A classification model for predicting binary outcomes.

What is a Model in AI?

A mathematical representation of a process or task.

What is Natural Language Processing (NLP)?

A field of AI focused on the interaction between computers and human language.

ITS AI Glossary Flashcards

Student preview

90 questions

Show all answers

1.

FLASHCARD QUESTION

Front

What is an A/B Test?

Back

A randomized experiment comparing two variants to measure their effectiveness.

2.

FLASHCARD QUESTION

Front

What is Accuracy in AI?

Back

The percentage of correct predictions made by a model.

3.

FLASHCARD QUESTION

Front

What is Adversarial Testing in AI?

Back

Testing a model by exposing it to deceptive or manipulative inputs.

4.

FLASHCARD QUESTION

Front

What does AI stand for?

Back

Artificial Intelligence.

5.

FLASHCARD QUESTION

Front

What is an Algorithm?

Back

A set of rules or instructions used to solve a problem.

6.

FLASHCARD QUESTION

Front

What does 'Anomaly' mean in AI?

Back

An unexpected or rare event that deviates from the norm.

7.

FLASHCARD QUESTION

Front

What is an API?

Back

A standardized interface for software applications to communicate.

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