Home > Information Technology > AI and ML Development > Must-Know AI-ML Acronyms and Concepts

28 Questions	Log in	Learn	00:00:00

1. What does AUC stand for?

Explanation: AUC measures the performance of a classification model, represented by the area under the ROC curve.
Report for correction

Area Under Control

Area Under Curve

Algorithmic Uncertainty Control

Analytical Use Case

2. What does AI stand for?

Explanation: AI stands for Artificial Intelligence, which refers to the simulation of human intelligence in machines.
Report for correction

Artificial Insight

Automated Intelligence

Artificial Intelligence

Augmented Insight

3. What does API stand for?

Explanation: API allows different software applications to communicate with each other.
Report for correction

Artificial Processing Interface

Algorithmic Programming Interface

Application Programming Interface

Automated Process Integration

4. What does ANN stand for?

Explanation: ANN refers to a computational model inspired by the way biological neural networks work.
Report for correction

Augmented Neural Network

Advanced Neural Network

Artificial Neural Network

Autonomous Neural Network

5. What does CRF stand for?

Explanation: CRF is a framework for building probabilistic models to segment and label sequence data.
Report for correction

Conditional Random Field

Causal Recurrent Filter

Contextual Recursive Field

Constant Random Feature

6. What does CNN stand for in AI?

Explanation: CNN stands for Convolutional Neural Network, a deep learning algorithm primarily used for processing visual data.
Report for correction

Convolutional Neural Network

Central Neural Node

Conditional Network Node

Convergence Network Node

7. What does DBN stand for?

Explanation: DBN is a generative graphical model consisting of multiple layers of hidden units, used for unsupervised learning.
Report for correction

Deep Boltzmann Network

Distributed Boltzmann Network

Deep Belief Network

Dense Belief Network

8. What does DNN stand for?

Explanation: DNN refers to a neural network with multiple hidden layers between the input and output layers.
Report for correction

Dense Neural Network

Distributed Neural Network

Deep Neural Network

Dual Node Network

9. What does XGBoost stand for?

Explanation: XGBoost is an optimized distributed gradient boosting library designed to be highly efficient and flexible for supervised learning tasks.
Report for correction

Extreme Gradient Boosting

Extended Gradient Boosting

Exponential Gradient Boost

Extra General Boosting

10. What does FNN stand for?

Explanation: FNN refers to a type of neural network where connections between nodes do not form a cycle.
Report for correction

Fully Neural Network

Feedforward Neural Network

Frequent Neural Network

Fractional Neural Network

11. What does GAN stand for?

Explanation: GAN refers to Generative Adversarial Network, a model where two neural networks compete to generate new, synthetic data that is similar to real data.
Report for correction

General Adversarial Network

Generative Adversarial Network

Gradient Advancement Network

Global Adaptation Network

12. What does GPU stand for?

Explanation: GPU refers to a specialized processor designed to accelerate graphics rendering and computational tasks, widely used in training AI models.
Report for correction

General Processing Unit

Graphical Processing Unit

Gradient Processing Unit

Global Processing Unit

13. What does IoT stand for?

Explanation: IoT refers to the network of physical devices that are connected and able to exchange data.
Report for correction

Interface of Technology

Internet of Things

Information of Technology

Integrated Operational Technology

14. What does KNN stand for?

Explanation: KNN is a simple, instance-based learning algorithm used for classification and regression.
Report for correction

K-Nearest Neighbors

Knowledge Neural Network

Key Neural Node

Kinetic Neural Network

15. What does LSTM stand for?

Explanation: LSTM is a type of RNN designed to learn long-term dependencies in sequence data.
Report for correction

Long Short-Term Memory

Linear Statistical Time Model

Large Scalable Time Module

Learned Sequential Timing Mechanism

16. What does ML stand for?

Explanation: ML refers to Machine Learning, a branch of AI that allows systems to learn from data without being explicitly programmed.
Report for correction

Machine Learning

Model Learning

Metric Learning

Module Logic

17. What does MLOps stand for?

Explanation: MLOps is a practice that combines machine learning and DevOps to streamline the process of building, deploying, and maintaining machine learning models.
Report for correction

Machine Learning Options

Machine Learning Operations

Model Learning Optimization

Modular Learning Operations

18. What does MLP stand for?

Explanation: MLP refers to a class of feedforward artificial neural networks with multiple layers of nodes.
Report for correction

Multi-Layer Perception

Multi-Layer Processing

Multi-Layer Perceptron

Maximum Likelihood Processing

19. What does NLP stand for?

Explanation: NLP refers to Natural Language Processing, a field of AI focused on the interaction between computers and human language.
Report for correction

Neural Learning Protocol

Natural Language Processing

Nominal Language Prediction

Numeric Learning Process

20. What does PCA stand for?

Explanation: PCA is a dimensionality-reduction technique used to reduce the complexity of large datasets while retaining most of the variance.
Report for correction

Principal Component Analysis

Process Control Algorithm

Primary Computing Algorithm

Predictive Component Analysis

21. What does ROC stand for?

Explanation: ROC is a graphical plot used to assess the diagnostic ability of binary classifiers.
Report for correction

Rate of Change

Random Output Classification

Receiver Operating Characteristic

Recursive Output Calculation

22. What does RLHF stand for?

Explanation: RLHF is a method in which a human provides feedback on an agent's behavior to improve its learning process.
Report for correction

Real-time Learning of Hyperparameter Fine-tuning

Reinforcement Learning with Human Feedback

Recursive Learning in High Frequency

Rational Learning with Hybrid Framework

23. What does RL stand for?

Explanation: RL stands for Reinforcement Learning, a type of machine learning where an agent learns to make decisions by interacting with its environment.
Report for correction

Recurrent Learning

Reinforcement Learning

Recursive Learning

Rational Learning

24. What does RNN stand for?

Explanation: RNN stands for Recurrent Neural Network, a class of neural networks that is used for processing sequences of data.
Report for correction

Recurrent Neural Network

Regular Neural Network

Recursive Neural Node

Randomized Neural Network

25. What does RPA stand for?

Explanation: RPA refers to the technology used for automating routine tasks using software robots or bots.
Report for correction

Repetitive Processing Algorithm

Robotic Process Automation

Real-time Process Analysis

Recursive Path Algorithm

26. What does SGD stand for?

Explanation: SGD is an optimization algorithm used to minimize the error in machine learning models.
Report for correction

Stochastic Gradient Descent

Statistical Gradient Descent

Sequential Gradient Descent

Supervised Gradient Descent

27. What does SVM stand for?

Explanation: SVM is a supervised machine learning model used for classification and regression analysis.
Report for correction

Support Vector Machine

Supervised Vector Model

Signal Validation Model

Statistical Variance Model

28. What does TPU stand for?

Explanation: TPU is a custom-developed application-specific integrated circuit (ASI , used to accelerate machine learning workloads, specifically designed by Google for TensorFlow.
Report for correction

Tensor Processing Unit

Transfer Processing Unit

Time-based Processing Unit

Threaded Processing Unit

Please Log in to save and analyze your score

Congratulations!!! You have completed all questions

🎁 Claim Rewards

🎁 Login to earn rewards !!!

Share in

Share in facebook

Share in Twitter

Leader board

1.	antoaugusteen	1183
2.	panushaalexis	920
3.	alextkithomas	240
4.	judehc	109
5.	claramblr	107