Class 10 Computer chapter 5 Complete Chapter Solutions PDF download

Accuracy (A) tells us:

Smart assistants like Google Assistant use AI to:

If the system is grouping without given answers, it is:

AI and ML helps in:

Which of the following is the purpose of a confusion matrix? (Analytical / Conceptual)

Linear Regression use to show relationship between two things:

AI helps businesses work faster, save money, and:

AI is mostly used for:

Recommendation systems suggest what you might like based on:

Linear Regression predicts future values based on:

K-Means Clustering algorithm:

Supervised learning is when the machine is trained using:

TN (True Negative) means:

Cheetay uses ML to:

Which shows how many predictions are correct?

ML is defined as:

How many types of data science algorithm?

What is Machine Learning (ML)?

Give data without any label?

When grouped or unlabeled data is arrived, we used?

Which algorithms help organizations to solve real world problems?

Which of the following is an example of AI?

Which of the following provide high accuracy?

Multiple linear regression helps the computer:

Todays technology is not about machine, it is about:

In supervised learning, the data is:

Which of the following is an example of unsupervised learning?

Weather app predictions are examples of?

When a system Learn from data and make decisions, it is called:

Schools, Business app used:

Simple linear regression uses how many independent variable(s) to predict one outcome?

Think of AI as the brain, and ML as the:

A chatbot on JazzCash is an example of: Overview / Smart Systems MCQs

In the present digital era, what are smart systems able to do?

Chatbots use AI to:

Unsupervised learning is when the machine:

Which of the following is an example of Machine Learning? (Analytical / Conceptual)

Chatbots used by banks like HBL and JazzCash are an example of:

AI means teaching machines to do tasks that usually require:

Which of the following is an example of unsupervised learning in school? (Analytical / Conceptual)

Why business organizations are used AI?

In linear regression graph, y-axis shows:

If an AI powered system makes a wrong decision, the responsibility lies with:

TP (True Positive) means:

If the app makes suggestions, understands your voice, answers you, or learns your habits, it uses:

In supervised learning, the machine is given data with:

Which of the following is an example of AI?

Machine learning unfair pattern is called:

Choosing the right algorithm depends on ____

Think of Supervised Learning as learning with a teacher, and Unsupervised Learning as:

AI means:

Which of the following use chatbots?

As compare to humans AI is:

Which of the following is an example of a recommendation system? (Analytical / Conceptual)

The formula for Accuracy is:

Think of an algorithm like:

Which algorithm would you use to group customers based on shopping behavior? (Analytical / Conceptual)

Which type of regression is used to understand complex patterns?

Which of the following does AI always need to learn? (Analytical / Conceptual)

Which of the following is an example of supervised learning? (Analytical / Conceptual)

Decision Trees use a tree-like model to make decisions based on:

Model predicted Pass, and the student was pass in actual as well: Exercise Questions (Solved)

ML stands for:

Which of the following help to market product in better way?

Which of the following is used to make decision?

AI is the broader concept of machines acting smart, while ML is when machines:

Unsupervised Learning uses unlabeled data to:

How many types of machine learning?

Confusion Matrix used parameters:

What is Artificial Intelligence (AI)?

Machine Learning is:

Predicting student test scores from study hours is an example of:

A type of variables used in regression:

Choosing algorithm depends upon:

Siri & Alexa is a:

Which applications use ML?

Which of the following reduce Bias?

Which AI feature is used to help customer service?

Bias in AI happens when machines:

Who Compare its own results with correct results?

Supervised Learning uses labeled data to:

How do machines trained with data perform tasks compared to a human brain? (Analytical / Conceptual)

A confusion matrix shows:

ChatGPT is a:

Google Assistant is an example of:

Data Science Algorithms are used to:

NLP is an example of:

FP (False Positive) means:

To reduce bias in AI, always use:

Which app recommends videos using ML?

If TP=7, TN=5, FP=2, FN=1, the accuracy of the model is:

Which of the following is not an example of Smart system?

Which of the following is the correct definition of AI? (Analytical / Conceptual)

Main goal of AI:

Which of the following always need data?

In unsupervised learning, the machine is given:

In linear regression graph, x-axis shows:

Which of the following application of AI?

Which of the following is the main goal of ML? (Analytical / Conceptual)