Artificial Intelligence

What is the main concept behind Machine Learning?

• To create complex algorithms for data analysis

• To replace human decision-making with automated processes

• To enable computers to learn from data and improve their performance on a specific task without being explicitly programmed.

• To make computers faster at processing data

Which subfield of artificial intelligence focuses on teaching computers to understand and generate human language?

• Computer Vision

• Robotics

• Machine Learning

• Natural Language Processing (NLP)

What is the primary goal of Natural Language Processing?

• To create virtual reality environments

• To teach computers how to play chess

• To enable computers to understand, interpret, and generate human language

• To analyze weather patterns

Computer Vision is a subfield of artificial intelligence that deals with what type of data?

• Text and audio data

• Sensor data

• Geospatial data

• Image and video data

What is the process of training a computer vision model to recognize objects in images called?

• Visual Categorization

• Image Classification

• Image Detection

• Object Recognition

Which machine learning technique is commonly used in computer vision for image classification?

• Decision Trees

• Support Vector Machines (SVM)

• Convolutional Neural Networks (CNNs)

• Recurrent Neural Networks (RNNs)

What is the term used to describe the ability of a machine learning model to make predictions without being explicitly programmed?

• Supervised Learning

• Deep Learning

• Artificial Intelligence

• Machine Learning

In Natural Language Processing, what is the task of determining the sentiment of a given text called?

• Textual Analysis

• Language Understanding

• Sentiment Analysis

• Emotion Detection

What is the name of the neural network architecture commonly used in Natural Language Processing tasks?

• Long Short-Term Memory (LSTM)

• Recurrent Neural Network (RNN)

• Convolutional Neural Network (CNN)

• Deep Belief Network (DBN)

What is the term used to describe the process of a machine learning model improving its performance over time as it is exposed to more data?

• learning

• progressing

• enhancing

• evolving