Page 169 - AI Ver 1.0 Class 10
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c. Data Acquisition -> Problem Scoping -> Data Exploration -> Modelling -> Evaluation
d. Problem Scoping -> Data Acquisition -> Data Exploration -> Modelling -> Evaluation
6. A business problem wherein we categorize whether an observation is “Safe,” “AtRisk,” or “Unsafe” is an example of:
[CBSE Sample Paper 2022]
a. Classification b. Clustering
c. Regression d. Dimensionality Reduction
7. ……….……................. helps us to summarise all the key points into one single outline so that in future, whenever there is
need to look back at the basis of the problem, we can take a look at it and understand the key elements of it.
[CBSE Sample Paper 2022]
a. 4W Problem canvas b. Problem Statement Template
c. Data Acquisition d. Algorithm
8. Which of the following is true about neural networks? [CBSE Sample Paper 2022]
a. Neural Networks tend to perform better with larger amounts of data.
b. Neural Networks tend to perform poorer with larger amounts of data.
c. Neural Networks tend to perform better with smaller amounts of data.
d. Neural Networks need no data.
9. Choose the correct option. [CBSE Sample Paper 2022]
a. Unsupervised learning ->labelled dataset, Regression
b. Supervised learning -> labelled data set, Regression
c. Unsupervised learning ->unlabelled dataset, Classification
d. Supervised learning -> unlabelled data set, Regression
B. Fill in the blanks.
1. ………………………. form a base of deep learning.
2. Evaluating the efficiency and the performance of AI model is ………………………. stage of AI model.
3. ………………………. reduces the dimensions and makes it sensible data.
4. Unsupervised learning is further divided into ………………………. and ………………………. .
5. ………………………. is a systematic grouping of observations in categories.
C. State whether these statements are true or false.
1. Every node of a neural network system is a machine learning algorithm. ……….……
2. A neural network is made up of a single layer. ……….……
3. Humans can visualise any figure up to three dimensions. ……….……
4. Clustering is a machine learning approach. ……….……
5. In an unsupervised learning model, a labelled dataset is given to the machine. ……….……
AI Project Cycle 167

