BCOR 2205 final Exam Questions With
Correct Answers
Artificial Intelligence - CORRECT ANSWER✔✔-Machines that can
perform tasks that are characteristic of human intelligence.
Machine Learning - CORRECT ANSWER✔✔-Subset of AI: The practice of
using algorithms to parse data, learn from it, and then decide or
prediction about something in the word
Target - CORRECT ANSWER✔✔-The variable we are trying to predict
and gain insights about
Features - CORRECT ANSWER✔✔-Can be thought of as the independent
variables we will use to predict the target
supervised ML - CORRECT ANSWER✔✔-Data scientist tells the machine
what it wants it learn (identifies target)
Unsupervised ML - CORRECT ANSWER✔✔-Up to the machine to decide
what it wants to learn
, Auto Machine Learning - CORRECT ANSWER✔✔-the process of
automating machine learning
Exploratory data analysis - CORRECT ANSWER✔✔-The process of
examining the descriptive statistics for all features as well as their
relationship with the target variable
Feature engineering - CORRECT ANSWER✔✔-Cleaning data, combining
features, splitting features into multiple features, handling missing
values, and dealing with text, etc.
Algorithm selection and hyper-parameter tuning - CORRECT
ANSWER✔✔-Keeping up with the "dizzying number" of available
algorithms and their quadrillions of parameter combinations
Model diagnostics - CORRECT ANSWER✔✔-Evaluation and ranking of
top models
the machine learning life cycle - CORRECT ANSWER✔✔-define project
objectives -> acquire and explore data -> model data -> interpret and
communicate -> implement, document, and maintain
define project objectives (1) - CORRECT ANSWER✔✔-specify business
problem, acquire subject matter expertise, define unit of analysis and
Correct Answers
Artificial Intelligence - CORRECT ANSWER✔✔-Machines that can
perform tasks that are characteristic of human intelligence.
Machine Learning - CORRECT ANSWER✔✔-Subset of AI: The practice of
using algorithms to parse data, learn from it, and then decide or
prediction about something in the word
Target - CORRECT ANSWER✔✔-The variable we are trying to predict
and gain insights about
Features - CORRECT ANSWER✔✔-Can be thought of as the independent
variables we will use to predict the target
supervised ML - CORRECT ANSWER✔✔-Data scientist tells the machine
what it wants it learn (identifies target)
Unsupervised ML - CORRECT ANSWER✔✔-Up to the machine to decide
what it wants to learn
, Auto Machine Learning - CORRECT ANSWER✔✔-the process of
automating machine learning
Exploratory data analysis - CORRECT ANSWER✔✔-The process of
examining the descriptive statistics for all features as well as their
relationship with the target variable
Feature engineering - CORRECT ANSWER✔✔-Cleaning data, combining
features, splitting features into multiple features, handling missing
values, and dealing with text, etc.
Algorithm selection and hyper-parameter tuning - CORRECT
ANSWER✔✔-Keeping up with the "dizzying number" of available
algorithms and their quadrillions of parameter combinations
Model diagnostics - CORRECT ANSWER✔✔-Evaluation and ranking of
top models
the machine learning life cycle - CORRECT ANSWER✔✔-define project
objectives -> acquire and explore data -> model data -> interpret and
communicate -> implement, document, and maintain
define project objectives (1) - CORRECT ANSWER✔✔-specify business
problem, acquire subject matter expertise, define unit of analysis and
