Machine Learning AI Course Day 2

Which type of data, commonly found in large volumes, presents the greatest challenge in terms of organization and analysis?

• Structured Data
• Unstructured Data
• Semi-Structured Data
• Real-Time Data

What is a critical first step before applying any statistical methods or machine learning algorithms to data?

• Data visualization
• Data cleaning
• Data storage
• Data labeling

Which machine learning model is trained to improve its accuracy by learning from data without explicit programming?

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Machine Learning Model

In the financial industry, which type of machine learning model is often used to detect fraud?

• Regression Models
• Clustering Models
• Decision Trees
• Neural Networks

What does the term 'real-time data' imply?

• Data stored in archives
• Data generated and processed immediately
• Historical trends
• Predefined data

What does supervised learning rely on?

• Data without labels
• Labels to train algorithms
• Real-time feedback
• A supervisor overseeing the training

What is the primary difference between supervised and unsupervised learning?

• Supervised learning uses labeled data; unsupervised learning does not
• Unsupervised learning is faster than supervised learning
• Supervised learning is used for clustering, unsupervised for classification
• Both rely on real-time data streams

What is the significance of 'Descriptive Analytics' in financial data analysis?

• Predicting future financial trends
• Summarizing historical financial data to understand past performance
• Automating financial decision-making
• Recommending optimal financial actions

What is the role of Optical Character Recognition (OCR) in AI-driven financial statement analysis?

• To automate financial decision-making
• To extract data from various document formats for analysis
• To visualize financial data
• To generate financial reports automatically

Which is NOT a use of AI in finance?

• Summarizing contracts
• Fraud detection
• Writing new regulations
• Predicting trends