BRAINSCAPE1
Machine Learning Exam with complete
solutions latest version
machine learning - CORRECT ANSWER-form of artificial intelligence that does
not require you to explicitly program, learning from patterns in data
supervised learning - CORRECT ANSWER-type of machine learning in which the
response variable is known
unsupervised learning - CORRECT ANSWER-type of machine learning in which
the response variable is unknown
R - CORRECT ANSWER-a mathematics based programming language that is
often used for machine learning
WEKA - CORRECT ANSWER-a graphical program (or a visual programming
language)
high-dimensionality - CORRECT ANSWER-a high-dimensionality problem is a
machine learning problem in which the number of dimensions or features is
much more than the number of cases
clustering - CORRECT ANSWER-part of unsupervised learning that in which
similar cases are grouped together
classification - CORRECT ANSWER-the process of using machine learning to
identify different cases based on patterns found in data (example: classifying
tumors as malignant or benign; classifying emails as spam or not spam)
SVM - CORRECT ANSWER-(Support Vector Machine) a machine learning
algorithm that computes a hyperplane in order to separate different classes of
data points (example: a SVM could be used to compute a hyperplane that
separates data points that represent cancer and not cancer)
OVA - CORRECT ANSWER-(One vs. All) special types of SVMs that are used in
multi-class problems - builds one SVM that compares each class to the rest of the
BRAINSCAPE1
Machine Learning Exam with complete
solutions latest version
machine learning - CORRECT ANSWER-form of artificial intelligence that does
not require you to explicitly program, learning from patterns in data
supervised learning - CORRECT ANSWER-type of machine learning in which the
response variable is known
unsupervised learning - CORRECT ANSWER-type of machine learning in which
the response variable is unknown
R - CORRECT ANSWER-a mathematics based programming language that is
often used for machine learning
WEKA - CORRECT ANSWER-a graphical program (or a visual programming
language)
high-dimensionality - CORRECT ANSWER-a high-dimensionality problem is a
machine learning problem in which the number of dimensions or features is
much more than the number of cases
clustering - CORRECT ANSWER-part of unsupervised learning that in which
similar cases are grouped together
classification - CORRECT ANSWER-the process of using machine learning to
identify different cases based on patterns found in data (example: classifying
tumors as malignant or benign; classifying emails as spam or not spam)
SVM - CORRECT ANSWER-(Support Vector Machine) a machine learning
algorithm that computes a hyperplane in order to separate different classes of
data points (example: a SVM could be used to compute a hyperplane that
separates data points that represent cancer and not cancer)
OVA - CORRECT ANSWER-(One vs. All) special types of SVMs that are used in
multi-class problems - builds one SVM that compares each class to the rest of the
BRAINSCAPE1
