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Computer Chapter 4 : Topic 2.22
Databases and Machine Learning
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A machine learning system improves its predictions after being trained on millions of records stored in a structured system. What is the most important role of the database in this process?
Reasoning: Machine learning relies on large, structured datasets stored in databases for training.
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Why are databases essential for training machine learning models in real-world applications?
Reasoning: Machine learning requires large, clean, and structured datasets stored in databases.
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A company uses customer purchase history stored in a database to predict future buying behavior. This process is an example of:
Reasoning: Machine learning uses historical database data to identify patterns and make predictions.
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What happens if the data stored in a database is incomplete or contains many errors before machine learning training?
Reasoning: Poor-quality data leads to unreliable machine learning outputs.
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Which type of data stored in databases is most useful for supervised machine learning?
Reasoning: Supervised learning requires labeled datasets stored in structured databases.
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A machine learning model is trained using historical medical records stored in a hospital database. What is the primary purpose of this training?
Reasoning: Machine learning identifies patterns in data to make predictions or decisions.
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Why is database normalization important before using data in machine learning systems?
Reasoning: Clean, structured data improves model performance and reduces errors.
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A machine learning system continuously updates its model using newly stored data in a database. This process is known as:
Reasoning: Models improve over time by learning from new data stored in databases.
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Which statement best explains the relationship between databases and machine learning?
Reasoning: Databases provide data, and machine learning uses it for pattern recognition and prediction.
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What is the biggest challenge when using large databases for machine learning?
Reasoning: Large datasets often require cleaning and preprocessing before training models.
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A company integrates its customer database with a machine learning system to recommend products. What is the main advantage of this integration?
Reasoning: Machine learning analyzes database records to provide personalized and intelligent recommendations.
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