Quiz on Decision Support Systems and Machine Learning

What is the primary purpose of forecasting in a business context?

• To increase production costs

• To enhance strategic planning and operational efficiency

• To reduce workforce size

• To eliminate inventory management

Which of the following is a challenge in forecasting real-world time series?

• Consistent data quality

• Trends and seasonality

• Stable market conditions

• Predictable consumer behavior

What is a key difference between traditional and machine learning forecasting approaches?

• Machine learning models are simpler to implement

• Machine learning models require less data

• Traditional models are better at handling nonlinear data

• Traditional models struggle with high-dimensional data

What does AutoML stand for?

• Automated Machine Learning

• Advanced Machine Learning

• Automated Model Learning

• Automatic Model Learning

Which of the following is NOT a step in the ML forecasting lifecycle?

• Data preprocessing

• Model selection

• Market analysis

• Hyperparameter tuning

What is the main goal of meta-learning?

• To create more complex models

• To learn how to learn

• To automate data collection

• To improve data quality

Which algorithm is known for probabilistic forecasting with RNNs?

• DeepAR

• LightGBM

• N-BEATS

• Prophet

What is a significant benefit of using AutoML?

• It is only useful for data scientists

• It eliminates the need for data preprocessing

• It automates the entire machine learning pipeline

• It requires extensive coding knowledge

What is the purpose of hyperparameter tuning?

• To select the best data source

• To optimize model settings for better performance

• To simplify the model structure

• To reduce the amount of data needed

Which of the following is a popular framework for time series ML in Python?

• Darts

• TensorFlow

• Scikit-learn

• Keras