Class 10 Computer chapter 5 Complete Chapter Solutions PDF download

Todays technology is not about machine, it is about:

Which of the following is an example of AI?

K-Means Clustering algorithm:

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

Multiple linear regression helps the computer:

Siri & Alexa is a:

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

Choosing the right algorithm depends on ____

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

Bias in AI happens when machines:

Which algorithms help organizations to solve real world problems?

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

Which of the following use chatbots?

What is Machine Learning (ML)?

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

To reduce bias in AI, always use:

When grouped or unlabeled data is arrived, we used?

ML is defined as:

Which of the following is an example of unsupervised learning?

Which shows how many predictions are correct?

As compare to humans AI is:

Linear Regression predicts future values based on:

Smart assistants like Google Assistant use AI to:

AI and ML helps in:

Unsupervised Learning uses unlabeled data to:

Which of the following reduce Bias?

ChatGPT is a:

Give data without any label?

AI helps businesses work faster, save money, and:

Which of the following provide high accuracy?

Weather app predictions are examples of?

Confusion Matrix used parameters:

Linear Regression use to show relationship between two things:

NLP is an example of:

ML stands for:

TN (True Negative) means:

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

Main goal of AI:

Which of the following is used to make decision?

Which of the following application of AI?

Which app recommends videos using ML?

Why business organizations are used AI?

In supervised learning, the machine is given data with:

The formula for Accuracy is:

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

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

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

Which type of regression is used to understand complex patterns?

Which applications use ML?

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

What is Artificial Intelligence (AI)?

Supervised learning is when the machine is trained using:

Machine Learning is:

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

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

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

Chatbots use AI to:

Think of an algorithm like:

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

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

AI is mostly used for:

In linear regression graph, y-axis shows:

AI means teaching machines to do tasks that usually require:

TP (True Positive) means:

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

Supervised Learning uses labeled data to:

Google Assistant is an example of:

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

How many types of machine learning?

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

Who Compare its own results with correct results?

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

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

Which AI feature is used to help customer service?

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

Schools, Business app used:

Which of the following always need data?

Accuracy (A) tells us:

In unsupervised learning, the machine is given:

FP (False Positive) means:

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

Choosing algorithm depends upon:

In supervised learning, the data is:

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

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

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

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

In linear regression graph, x-axis shows:

Cheetay uses ML to:

A type of variables used in regression:

Machine learning unfair pattern is called:

AI means:

Data Science Algorithms are used to:

A confusion matrix shows:

Recommendation systems suggest what you might like based on:

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

How many types of data science algorithm?

Unsupervised learning is when the machine:

Which of the following is an example of AI?