Class 10 Computer chapter 5 Complete Chapter Solutions PDF download

AI and ML helps in:

In linear regression graph, y-axis shows:

Chatbots use AI to:

TP (True Positive) means:

Supervised Learning uses labeled data to:

Which algorithms help organizations to solve real world problems?

Which of the following always need data?

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

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

Which of the following is used to make decision?

Which type of regression is used to understand complex patterns?

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

Bias in AI happens when machines:

Unsupervised Learning uses unlabeled data to:

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

Which of the following is an example of AI?

Linear Regression predicts future values based on:

Schools, Business app used:

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

ML stands for:

Unsupervised learning is when the machine:

Which app recommends videos using ML?

Who Compare its own results with correct results?

As compare to humans AI is:

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

When grouped or unlabeled data is arrived, we used?

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?

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

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

Weather app predictions are examples of?

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

Think of an algorithm like:

Machine Learning is:

Machine learning unfair pattern is called:

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

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

In supervised learning, the machine is given data with:

Which of the following provide high accuracy?

K-Means Clustering algorithm:

FP (False Positive) means:

AI helps businesses work faster, save money, and:

The formula for Accuracy is:

Main goal of AI:

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

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

What is Artificial Intelligence (AI)?

Choosing the right algorithm depends on ____

Which shows how many predictions are correct?

Supervised learning is when the machine is trained using:

Give data without any label?

AI means teaching machines to do tasks that usually require:

What is Machine Learning (ML)?

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

Data Science Algorithms are used to:

In supervised learning, the data is:

Why business organizations are used AI?

ChatGPT is a:

AI is mostly used for:

Linear Regression use to show relationship between two things:

Recommendation systems suggest what you might like based on:

Confusion Matrix used parameters:

Todays technology is not about machine, it is about:

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

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

How many types of data science algorithm?

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

TN (True Negative) means:

Which of the following is an example of AI?

Siri & Alexa is a:

Which of the following reduce Bias?

Google Assistant is an example of:

AI means:

Multiple linear regression helps the computer:

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

To reduce bias in AI, always use:

In linear regression graph, x-axis shows:

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

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

A type of variables used in regression:

How many types of machine learning?

Accuracy (A) tells us:

NLP is an example of:

ML is defined as:

In unsupervised learning, the machine is given:

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

Which of the following use chatbots?

Which of the following application of AI?

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

Cheetay uses ML to:

A confusion matrix shows:

Which applications use ML?

Smart assistants like Google Assistant use AI to:

Choosing algorithm depends upon:

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

Which of the following is an example of unsupervised learning?

Which AI feature is used to help customer service?

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

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