Machine Learning Practice Questions
and Answers
machine learning - ANSWER -a form of artificial intelligence that learns patterns
from data without explicit programming
supervised learning - ANSWER -a type of machine learning in which the response
variable is known
unsupervised learning - ANSWER -a type of machine learning in which the
response variable is unknown
R - ANSWER -a mathematics-oriented programming language often used for
machine-learning tasks
WEKA - ANSWER -a graphical workbench (visual programming interface) for
machine learning
high-dimensionality - ANSWER -a problem where the number of features
(dimensions) far exceeds the number of cases
clustering - ANSWER -an unsupervised-learning technique that groups similar
cases together
classification - ANSWER -the task of assigning cases to discrete classes (e.g.,
malignant vs. benign tumors, spam vs. non-spam e-mail)
SVM - ANSWER -(Support Vector Machine) an algorithm that finds a hyperplane
to separate different classes of data points
OVA - ANSWER -(One-vs-All) a multi-class strategy that builds one SVM per
class versus all remaining classes
decision tree - ANSWER -an algorithm that produces a tree-like map of generic
rules for predicting the class of a new case
neural networks - ANSWER -computational models inspired by biological neurons
that learn complex patterns through layered weighted connections
multi-class - ANSWER -a problem with more than two classes
and Answers
machine learning - ANSWER -a form of artificial intelligence that learns patterns
from data without explicit programming
supervised learning - ANSWER -a type of machine learning in which the response
variable is known
unsupervised learning - ANSWER -a type of machine learning in which the
response variable is unknown
R - ANSWER -a mathematics-oriented programming language often used for
machine-learning tasks
WEKA - ANSWER -a graphical workbench (visual programming interface) for
machine learning
high-dimensionality - ANSWER -a problem where the number of features
(dimensions) far exceeds the number of cases
clustering - ANSWER -an unsupervised-learning technique that groups similar
cases together
classification - ANSWER -the task of assigning cases to discrete classes (e.g.,
malignant vs. benign tumors, spam vs. non-spam e-mail)
SVM - ANSWER -(Support Vector Machine) an algorithm that finds a hyperplane
to separate different classes of data points
OVA - ANSWER -(One-vs-All) a multi-class strategy that builds one SVM per
class versus all remaining classes
decision tree - ANSWER -an algorithm that produces a tree-like map of generic
rules for predicting the class of a new case
neural networks - ANSWER -computational models inspired by biological neurons
that learn complex patterns through layered weighted connections
multi-class - ANSWER -a problem with more than two classes
