Class X AI 2024_25

A _______________is divided into multiple layers and each layer is further divided into several blocks called nodes.

• Neural Networks

• Convolutional Neural Network (CNN)

• Machine learning algorithm

• Hidden Layers

The __________________canvas helps you in identifying the key elements related to the problem.

• Problem scoping

• 4Ws Problem

• Project cycle

• Algorithm

____________is defined as the percentage of correct predictions out of all the observations.

• Predictions

• Accuracy

• Reality

• F1 Score

_________________is the sub-field of AI that is focused on enabling computers to understand and process human languages.

• Deep Learning

• Machine Learning

• NLP

• Data Sciences

In___________________, the machine is trained with huge amounts of data which helps it in training itself around the data.

• Supervised Learning

• Deep Learning

• Classification

• Unsupervised Learning

NLU Stands for

• Neutral Language Understanding

• Natural Language Understanding

• National Language Understanding

• None of the Above

Expand CBT_______________

• Computer Behaved Training

• Cognitive Behavioural Therapy

• Consolidated Batch of trainers

• Combined Basic Training

Name any 2 methods of collecting data.

• Surveys and Interviews

• Rumors and Myths

• AI models and applications

• Imagination and thoughts

What is the role of modelling in an NLP based AI model?

• Modelling in NLP helps in processing of AI model

• Modelling is required to make an AI model

• In NLP, modelling requires data pre-processing only after which the data is fed to the machine.

• Modelling is used in simplification of data acquisition

Recall-Evaluation method is

• defined as the fraction of positive cases that are correctly identified.

• defined as the percentage of true positive cases versus all the cases where the prediction is true.

• defined as the percentage of correct predictions out of all the observations.

• comparison between the prediction and reality