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All questions of Advanced Concepts of Modeling in AI for Class 10 Exam
Which of the following is the most advanced form of AI among AI, ML, and DL?- a)Machine Learning
- b)Deep Learning
- c)Artificial Intelligence
- d)Rule-based Systems
Correct answer is option 'B'. Can you explain this answer?
Which of the following is the most advanced form of AI among AI, ML, and DL?
a)
Machine Learning
b)
Deep Learning
c)
Artificial Intelligence
d)
Rule-based Systems
|
Nk Classes answered |
Deep Learning is the most advanced form as it uses multi-layered neural networks to analyze large datasets and mimic human-like learning and decision-making.
Which of the following best describes Artificial Intelligence (AI)?- a)A machine that can only follow fixed instructions
- b)A machine that mimics human intelligence to think, learn, and make decisions
- c)A program that only stores and retrieves data
- d)A calculator performing arithmetic operations
Correct answer is option 'B'. Can you explain this answer?
Which of the following best describes Artificial Intelligence (AI)?
a)
A machine that can only follow fixed instructions
b)
A machine that mimics human intelligence to think, learn, and make decisions
c)
A program that only stores and retrieves data
d)
A calculator performing arithmetic operations
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Kamna Science Academy answered |
AI refers to the ability of machines to simulate human intelligence, including learning, problem-solving, and decision-making. Unlike calculators or fixed programs, AI can adapt and evolve based on data and experiences.
The process of grouping similar objects together without predefined labels is called:- a)Classification
- b)Regression
- c)Clustering
- d)Reinforcement
Correct answer is option 'C'. Can you explain this answer?
The process of grouping similar objects together without predefined labels is called:
a)
Classification
b)
Regression
c)
Clustering
d)
Reinforcement
|
|
Kamna Science Academy answered |
Clustering is an unsupervised learning technique that groups similar data points based on hidden patterns, unlike classification which uses predefined labels.
In Machine Learning, "labels" are best defined as:- a)The rules given by developers
- b)Features like color or size of data
- c)The target or meaning attached to data
- d)Random raw data without tags
Correct answer is option 'C'. Can you explain this answer?
In Machine Learning, "labels" are best defined as:
a)
The rules given by developers
b)
Features like color or size of data
c)
The target or meaning attached to data
d)
Random raw data without tags
|
EduRev Class 10 answered |
Labels are the outputs or tags attached to data (e.g., the name of the fruit in a dataset). Features describe the data, but labels provide the category/class.
Which unsupervised learning method is used to find relationships between products (like bread and butter)?- a)Clustering
- b)Association
- c)Regression
- d)Reinforcement
Correct answer is option 'B'. Can you explain this answer?
Which unsupervised learning method is used to find relationships between products (like bread and butter)?
a)
Clustering
b)
Association
c)
Regression
d)
Reinforcement
|
|
Kamna Science Academy answered |
Association rule mining is used to identify relationships between items in datasets (e.g., customers buying bread also tend to buy butter).
Which of the following statements about Unsupervised Learning is correct?- a)It works only with labeled data
- b)It requires human supervision for every step
- c)It works with unlabeled data and finds hidden patterns
- d)It cannot be used for clustering
Correct answer is option 'C'. Can you explain this answer?
Which of the following statements about Unsupervised Learning is correct?
a)
It works only with labeled data
b)
It requires human supervision for every step
c)
It works with unlabeled data and finds hidden patterns
d)
It cannot be used for clustering
|
|
Nk Classes answered |
Unsupervised learning works with unlabeled datasets and is used to discover patterns, clusters, and associations without predefined categories.
In regression models, the output is:- a)Discrete categories
- b)Continuous values
- c)Random clusters
- d)Binary labels only
Correct answer is option 'B'. Can you explain this answer?
In regression models, the output is:
a)
Discrete categories
b)
Continuous values
c)
Random clusters
d)
Binary labels only
|
|
EduRev Class 10 answered |
Regression models predict continuous values like salary, house price, or temperature, unlike classification which predicts categories.
What type of data is used in supervised learning?- a)Unlabeled data
- b)Mixed data
- c)Labeled data
- d)No data
Correct answer is option 'C'. Can you explain this answer?
What type of data is used in supervised learning?
a)
Unlabeled data
b)
Mixed data
c)
Labeled data
d)
No data
|
|
Kamna Science Academy answered |
Supervised learning requires labeled data, where each feature is linked with a target output. This allows the model to learn mappings between inputs and outputs.
Machine Learning (ML) is a subset of AI that mainly focuses on:- a)Giving strict rule-based instructions to machines
- b)Teaching machines to learn from data and improve with experience
- c)Building hardware circuits for machines
- d)Storing labeled datasets for future use
Correct answer is option 'B'. Can you explain this answer?
Machine Learning (ML) is a subset of AI that mainly focuses on:
a)
Giving strict rule-based instructions to machines
b)
Teaching machines to learn from data and improve with experience
c)
Building hardware circuits for machines
d)
Storing labeled datasets for future use
|
|
Nk Classes answered |
ML is about enabling machines to learn from data without explicit programming. Instead of following strict rules, ML adapts using past experiences and datasets.
Which of the following is an example of classification in ML?- a)Predicting the exact temperature tomorrow
- b)Classifying emails as spam or not spam
- c)Predicting house prices based on size
- d)Estimating future salary of an employee
Correct answer is option 'B'. Can you explain this answer?
Which of the following is an example of classification in ML?
a)
Predicting the exact temperature tomorrow
b)
Classifying emails as spam or not spam
c)
Predicting house prices based on size
d)
Estimating future salary of an employee
|
|
Kamna Science Academy answered |
Classification deals with discrete categories (spam/not spam). Predicting numerical values (temperature, salary, price) belongs to regression models.
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Artificial Intelligence for Class 10
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