Exploring Artificial Intelligence

What is the primary goal of Machine Learning?

• To create static algorithms that do not adapt.

• To replace human intelligence entirely.

• To store data without processing it.

• To enable computers to learn from data and make predictions or decisions.

Which algorithm is commonly used in supervised learning?

• Linear Regression

• K-means Clustering

• Support Vector Machine

• Principal Component Analysis

What is the difference between supervised and unsupervised learning?

• Supervised learning uses labeled data for training, while unsupervised learning uses unlabeled data to find patterns.

• Supervised learning requires no data for training, while unsupervised learning requires labeled data.

• Supervised learning is used for clustering, while unsupervised learning is used for classification.

• Supervised learning is faster than unsupervised learning regardless of data size.

What is Natural Language Processing (NLP) primarily concerned with?

• The interaction between computers and human language.

• The development of computer hardware.

• The analysis of financial data.

• The study of animal communication.

Name a popular NLP task that involves generating text.

• Named Entity Recognition

• Sentiment Analysis

• Text Classification

• Text Summarization

What is the purpose of tokenization in NLP?

• To convert text into numerical values for machine learning.

• To summarize text into a single sentence.

• To translate text from one language to another.

• The purpose of tokenization in NLP is to break down text into smaller units for analysis.

What are the main components of a robotic system?

• Chassis, wheels, remote control, and GPS.

• Sensors, actuators, control system, power supply, and software.

• Microcontrollers, batteries, wheels, and cameras.

• Motors, gears, display screens, and batteries.

What is the role of sensors in robotics?

• Sensors are used to power robots.

• Sensors are only for navigation purposes.

• Sensors enable robots to perceive their environment and make informed decisions.

• Sensors replace the need for programming in robots.

What is an Expert System?

• A database that stores expert opinions.

• An Expert System is a computer program that simulates the judgment and behavior of a human or an organization that has expert-level knowledge and experience in a specific field.

• A program that only performs basic calculations.

• A tool for creating websites without coding.

How do Expert Systems differ from traditional programming?

• Expert Systems do not require any rules or knowledge to function.

• Expert Systems differ from traditional programming in that they utilize knowledge and rules to make decisions, whereas traditional programming relies on predefined algorithms and procedures.

• Traditional programming uses artificial intelligence to make decisions.

• Expert Systems are solely based on machine learning techniques.