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Q. 3 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. ____________ is the process of finding instances of real world objects in image.
a. Data Science b. Object Detecti on
c. Natural Language Processing d. Neural Network
ii. Sunita was learning neural networks. She understood that there were three layers in a neural network.
Help her identify the layer that does processing in the neural network.
a. Output layer b. Hidden layer
c. Input layer d. Data layer
iii. Smita is working on a project that involves over a lakh of records. Which of the following should she
use to make the best model?
a. Traditi onal programming b. Manual processing
c. IoT d. Neural networks
iv. The training data for an AI project should be ___________.
(i) Relevant (ii) Scatt ered
(iii) Structured (iv) Authenti c C
Choose the correct option:
a. Both (i) and (ii) b. Both (i) and (iv)
c. Only (i) d. Only (iv)
v. ___________ is the simple file format that stores data seperated by commas.
a. jpg b. doc
c. csv d. png
vi. F1 score is the measure of the balance between ___________
a. Accuracy and Precision b. Precision and Recall
c. Recall and Accuracy d. Recall and Reality
Q. 4 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. _______________ helps in assigning a predefined category to a document, organising it in such a way
that helps customers to find information they want.
a. Classifi cati on b. Detecti on
c. Identi fi cati on d. Localisati on
ii. Which of the following is the type of data used by computer vision applications?
a. Images b. Numerical data
c. Graphical data d. Text and Speech
iii. Ayushi was learning about computer vision. She wanted to know another term used for the same.
Help her in identifying the term used for it.
a. Golden Eye b. Data Analysis
c. Machine Vision d. Animati on
iv. What is the full form of TF-IDF?
a. Term Frequency Inverse Document Frequency b. Text Frequency Inverse Document Frequency
c. Term Frequency Inverse Data Frequency d. Text Frequency Inverse Data Frequency
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