Exploring Artificial Intelligence

What is the primary goal of Machine Learning?

• To store data in a more efficient way.

• To automate all computer programming tasks.

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

• To replace human intelligence entirely.

Define Natural Language Processing (NLP).

• Natural Language Processing (NLP) is a type of machine learning focused on image recognition.

• Natural Language Processing (NLP) is a method for processing numerical data.

• Natural Language Processing (NLP) is a branch of artificial intelligence that enables computers to understand, interpret, and generate human language.

• Natural Language Processing (NLP) is a programming language used for software development.

What is a common application of Computer Vision?

• Image recognition

• Video processing

• Text analysis

• Audio recognition

Explain the concept of a neural network.

• A neural network is a type of database used for storing large amounts of data.

• A neural network is a hardware component that enhances computer graphics performance.

• A neural network is a computational model made up of interconnected nodes that process information in layers, inspired by the human brain.

• A neural network is a simple algorithm that performs basic arithmetic operations.

What is overfitting in Machine Learning?

• Overfitting occurs when a model is too simple and cannot capture the underlying patterns.

• Overfitting is when a model performs well on training data but poorly on unseen data due to excessive complexity.

• Overfitting happens when a model is trained on too much data, leading to confusion.

• Overfitting is when a model performs poorly on both training and unseen data due to lack of data.

Discuss one ethical concern related to AI.

• Bias in decision-making leading to unfair treatment.

• AI has no impact on privacy concerns.

• AI eliminates all human jobs immediately.

• AI can predict the future accurately.

What is reinforcement learning?

• Reinforcement learning is a technique for clustering data into groups.

• Reinforcement learning is a type of machine learning that focuses solely on data analysis.

• Reinforcement learning is a type of machine learning focused on training agents to make decisions through trial and error to maximize rewards.

• Reinforcement learning is a method for supervised learning using labeled data.

Name a popular algorithm used in supervised learning.

• Support Vector Machine

• Decision Tree

• Neural Network

• K-Means Clustering

What role does data play in training AI models?

• Data only serves to confuse AI models.

• Data serves as the foundation for training AI models, enabling them to learn and make predictions.

• Data is irrelevant to AI training.

• AI models can train without any data.

How can bias in AI systems impact society?

• Bias in AI systems can lead to discrimination, perpetuate inequalities, and erode trust in technology.

• Bias in AI systems can enhance fairness and equality.

• Bias in AI systems can improve trust in technology.

• Bias in AI systems has no effect on society.