Exploring AI Careers and Skills

What programming languages are commonly used in AI?

• HTML

• CSS

• Python, R, Java, C++, JavaScript

• SQL

Name a popular framework for machine learning.

• TensorFlow

• Keras

• Scikit-learn

• PyTorch

What is the role of a data scientist in AI?

• A data scientist primarily focuses on hardware development.

• A data scientist analyzes data and develops models for AI.

• A data scientist manages IT infrastructure for AI projects.

• A data scientist only collects data without analysis.

Which skill is essential for natural language processing?

• Linguistic knowledge

• Data visualization

• Graphic design

• Mathematical reasoning

What does a machine learning engineer do?

• A machine learning engineer develops and implements machine learning models and systems.

• A machine learning engineer primarily focuses on data entry tasks.

• A machine learning engineer designs user interfaces for software applications.

• A machine learning engineer manages IT infrastructure and networks.

What is the importance of data preprocessing in AI?

• Data preprocessing is only necessary for large datasets.

• Data preprocessing is essential for improving data quality and model performance in AI.

• Data preprocessing is primarily used for data visualization.

• Data preprocessing has no impact on model accuracy.

Name a field where AI is applied outside of technology.

• Agriculture

• Healthcare

• Education

• Finance

What is the difference between supervised and unsupervised learning?

• Supervised learning requires no data, while unsupervised learning requires a lot of data.

• Unsupervised learning is always more accurate than supervised learning.

• Supervised learning is only used for classification tasks, while unsupervised learning is used for regression tasks.

• Supervised learning uses labeled data, while unsupervised learning uses unlabeled data.

What is the purpose of neural networks in AI?

• The purpose of neural networks in AI is to model complex patterns and relationships in data for tasks such as classification, regression, and decision-making.

• To create simple linear models for data analysis.

• To store large amounts of data efficiently.

• To replace traditional programming languages entirely.

Which AI job title focuses on ethical implications of AI?

• AI Ethicist

• Data Scientist

• AI Developer

• Machine Learning Engineer