ARM 54- Assignment 9- Questions and Answers
Data driven decision making Correct Ans-An organizational process to gather and analyze
relevant and verifiable data and then evaluate the results to guide business strategies.
Internet of Things Correct Ans-A network of objects that transmit data to computers
Predictive Model Correct Ans-a model used to predict an unknown outcome by means of a
defined target variable.
Training Data Correct Ans-Data that is used to train a predictive model and that therefore
must have known values for the target variable of the model.
Target Variable Correct Ans-The predefined attribute whose value is being predicted in a
data analytical model
Class Label Correct Ans-the value of the target variable in a model.
Attribute Correct Ans-A variable that describes a characteristic of an instance within a
model.
Instance (example) Correct Ans-The representation of a data point described by a set of
attributes within a model's dataset
, ARM 54- Assignment 9- Questions and Answers
Overfitting Correct Ans-the process of fitting a model too closely to the training data for
the model to be effective on other data.
Big Data Correct Ans-Sets of data that are too large to be gathered and analyzed by
traditional methods
Structured Data Correct Ans-Data organized into databases with defined fields, including
links between databases.
Unstructured Data Correct Ans-Data that is not organized into predetermined formats,
such as databases, and often consists of text, images, or other nontraditional media.
Veracity Correct Ans-Refers to the completeness and accuracy of data.
Data science Correct Ans-an interdisciplinary field involving the design and use of
techniques to process very large amounts of data from a variety of sources and to provide
knowledge based on the data.
Internal data Correct Ans-data that is owned by an organization
External data Correct Ans-data that belongs to an entity other than the organization that
wishes to acquire and use it.
Data driven decision making Correct Ans-An organizational process to gather and analyze
relevant and verifiable data and then evaluate the results to guide business strategies.
Internet of Things Correct Ans-A network of objects that transmit data to computers
Predictive Model Correct Ans-a model used to predict an unknown outcome by means of a
defined target variable.
Training Data Correct Ans-Data that is used to train a predictive model and that therefore
must have known values for the target variable of the model.
Target Variable Correct Ans-The predefined attribute whose value is being predicted in a
data analytical model
Class Label Correct Ans-the value of the target variable in a model.
Attribute Correct Ans-A variable that describes a characteristic of an instance within a
model.
Instance (example) Correct Ans-The representation of a data point described by a set of
attributes within a model's dataset
, ARM 54- Assignment 9- Questions and Answers
Overfitting Correct Ans-the process of fitting a model too closely to the training data for
the model to be effective on other data.
Big Data Correct Ans-Sets of data that are too large to be gathered and analyzed by
traditional methods
Structured Data Correct Ans-Data organized into databases with defined fields, including
links between databases.
Unstructured Data Correct Ans-Data that is not organized into predetermined formats,
such as databases, and often consists of text, images, or other nontraditional media.
Veracity Correct Ans-Refers to the completeness and accuracy of data.
Data science Correct Ans-an interdisciplinary field involving the design and use of
techniques to process very large amounts of data from a variety of sources and to provide
knowledge based on the data.
Internal data Correct Ans-data that is owned by an organization
External data Correct Ans-data that belongs to an entity other than the organization that
wishes to acquire and use it.
