1. What does AI stand for?
Explanation: AI stands for Artificial Intelligence, which refers to the simulation of human intelligence in machines.
Report for correction2. 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 correction3. 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 correction4. 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 correction5. 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 correction6. 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 correction7. What does SVM stand for?
Explanation: SVM is a supervised machine learning model used for classification and regression analysis.
Report for correction8. 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 correction9. What does LSTM stand for?
Explanation: LSTM is a type of RNN designed to learn long-term dependencies in sequence data.
Report for correction10. 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 correction11. What does API stand for?
Explanation: API allows different software applications to communicate with each other.
Report for correction12. What does IoT stand for?
Explanation: IoT refers to the network of physical devices that are connected and able to exchange data.
Report for correction13. What does DNN stand for?
Explanation: DNN refers to a neural network with multiple hidden layers between the input and output layers.
Report for correction14. What does KNN stand for?
Explanation: KNN is a simple, instance-based learning algorithm used for classification and regression.
Report for correction15. 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 correction16. 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 correction17. 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 correction18. What does MLP stand for?
Explanation: MLP refers to a class of feedforward artificial neural networks with multiple layers of nodes.
Report for correction19. What does RPA stand for?
Explanation: RPA refers to the technology used for automating routine tasks using software robots or bots.
Report for correction20. What does ANN stand for?
Explanation: ANN refers to a computational model inspired by the way biological neural networks work.
Report for correction21. What does SGD stand for?
Explanation: SGD is an optimization algorithm used to minimize the error in machine learning models.
Report for correction22. What does AUC stand for?
Explanation: AUC measures the performance of a classification model, represented by the area under the ROC curve.
Report for correction23. What does ROC stand for?
Explanation: ROC is a graphical plot used to assess the diagnostic ability of binary classifiers.
Report for correction24. What does CRF stand for?
Explanation: CRF is a framework for building probabilistic models to segment and label sequence data.
Report for correction25. 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 correction26. 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 correction27. 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 correction28. 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.
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