18 Questions
What is an entity in the context of data analysis?
A group of data separated by conceptual themes or acquisition methods
What is an attribute in the context of data analysis?
A column in a file or table
What is the primary purpose of understanding the data in building an artificial intelligence application?
To understand entities, attributes, and data types
What is the purpose of handling different data types in machine learning?
To generate a feature vector for machine learning algorithms
What characterizes static machine learning models?
They do not learn incrementally and have no concept of time series
What type of problem does the Iris dataset represent?
Multi-class classification
What is the benefit of understanding entities in data analysis?
It helps in identifying conceptual themes and data acquisition methods
What is an important aspect of analyzing data for building an AI system?
Knowledge of linearity of the relationship
What is an example of a nonlinear model?
Decision trees
What is an example of an attribute in a dataset?
Length and Width for Sepal and Petal
What is the total number of samples in the Iris dataset?
150
Who coined the term 'Machine Learning' in 1959?
Arthur Samuel
What is the purpose of breaking down the step of understanding the data into three parts?
To understand entities, attributes, and data types
What are the three factors on which machine learning is based?
Data, metric, and feedback
What is big data characterized by?
Large size that requires a cluster of machines
What is the primary difference between big data and not-so-big data?
Size of data
What is a cluster of machines used for?
Processing big data
What is the purpose of a metric in machine learning?
To quantify the error
Learn about entities in machine learning, representing groups of data separated by conceptual themes or data acquisition methods. Understand how entities relate to tables in a database or flat files like CSV files.
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