machine learning correct answers form of artificial intelligence that does not require you to explicitly program, learning from patterns in data
supervised learning correct answers type of machine learning in which the response variable is known
unsupervised learning correct answers type o...
machine learning correct answers form of artificial intelligence that does not require you
to explicitly program, learning from patterns in data
supervised learning correct answers type of machine learning in which the response
variable is known
unsupervised learning correct answers type of machine learning in which the response
variable is unknown
R correct answers a mathematics based programming language that is often used for
machine learning
WEKA correct answers a graphical program (or a visual programming language)
high-dimensionality correct answers 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 answers part of unsupervised learning that in which similar cases are
grouped together
classification correct answers 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 answers (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 answers (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 classes
(example: in a problem regarding the diagnosis of 14 different cancers, 14 SVMs would
be built such as breast cancer vs. everything else, prostate cancer vs. everything else,
etc.)
decision tree correct answers a machine learning algorithm that makes a map with
generic characteristics that can be used to determine what class a specific case falls
into
neural networks correct answers ?
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