Introduction to AI and Machine Learning

What is the definition of Artificial Intelligence?

• Artificial Intelligence refers to the use of robots in manufacturing processes.

• Artificial Intelligence is the ability of machines to perform physical tasks only.

• Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems.

• Artificial Intelligence is a type of software that only plays games.

List some common techniques used in AI.

• blockchain technology

• Machine learning, natural language processing, computer vision, neural networks

• data mining

• cloud computing

How is knowledge represented in Predicate Logic?

• Knowledge is represented using predicates, quantifiers, and logical connectives.

• Knowledge is represented solely by statements without any logical structure.

• Knowledge is represented using only numbers and symbols.

• Knowledge is represented through images and diagrams.

What are simple facts in logic?

• Simple facts in logic are always true statements.

• Simple facts in logic are basic statements that can be true or false.

• Simple facts in logic are complex theories.

• Simple facts in logic are opinions that vary by person.

Define computable functions and predicates.

• Computable functions can only be defined for integer inputs.

• Computable functions are only theoretical constructs without practical applications.

• Computable functions are functions that can be calculated by an algorithm, while predicates are functions that return true or false based on input conditions.

• Predicates are always complex mathematical equations.

What is the difference between procedural and declarative knowledge?

• Procedural knowledge is knowing how to do something; declarative knowledge is knowing facts or information.

• Procedural knowledge is only applicable in programming; declarative knowledge is for everyday use.

• Procedural knowledge is theoretical; declarative knowledge is practical.

• Procedural knowledge is about memorizing facts; declarative knowledge is about skills.

Explain the concept of Logic Programming.

• Logic programming is a method for designing user interfaces.

• Logic programming is a type of object-oriented programming.

• Logic programming is a programming paradigm that uses formal logic to express programs as a set of relations and derives conclusions through logical inference.

• Logic programming focuses on procedural steps to solve problems.

What are the mathematical foundations necessary for Machine Learning?

• Number Theory

• Geometry

• Linear Algebra, Calculus, Probability and Statistics, Information Theory

• Set Theory

What is the idea behind machines learning from data?

• Machines learn by memorizing all data without analysis.

• Machines only learn from structured data without patterns.

• The idea behind machines learning from data is to identify patterns and make predictions based on those patterns.

• The goal is to eliminate all human input in decision-making.

Differentiate between regression and classification problems.

• Regression is used for clustering; classification is used for regression analysis.

• Regression predicts continuous values; classification predicts discrete categories.

• Regression deals with time series data; classification deals with spatial data.

• Regression predicts binary outcomes; classification predicts numerical values.