In simple term, machine learning is
A. training based on historical data
B. prediction to answer a query
C. both A and B
D. automization of complex tasks
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Which of the following is the best machine learning method?
A. scalable
B. accuracy
C. fast
D. all of the above
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The output of training process in machine learning is
A. machine learning model
B. machine learning algorithm
C. null
D. accuracy
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Application of machine learning methods to large databases is called
A. data mining.
B. artificial intelligence
C. big data computing
D. internet of things
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If machine learning model output involves target variable then that model is called as
A. descriptive model
B. predictive model
C. reinforcement learning
D. all of the above
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What are the different Algorithm techniques in Machine Learning?
A. supervised learning and semi-supervised learning
B. unsupervised learning and transduction
C. both A & B
D. none of the mentioned
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Which of the following is not Machine Learning?
A. artificial intelligence
B. rule based inference
C. both a and b
D. none of the mentioned
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What is 'Overfitting' in Machine learning?
A. when a statistical model describes random error or noise instead of
B. robots are programed so that they can perform the task based on data they gather from
C. while involving the process of learning 'overfitting' occurs.
D. a set of data is used to discover the potentially predictive relationship
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If machine learning model output doesnot involves target variable then that model is called as
A. descriptive model
B. predictive model
C. reinforcement learning
D. all of the above
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Which are two techniques of Machine Learning ?
A. Genetic Programming and Inductive Learning
B. Speech recognition and Regression
C. Both A and B
D. None of the Mentioned
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What characterize unlabeled examples in machine learning
A. there is no prior knowledge
B. there is no confusing knowledge
C. there is prior knowledge
D. there is plenty of confusing knowledge
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What characterize is hyperplance in geometrical model of machine learning?
A. a plane with 1 dimensional fewer than number of input attributes
B. a plane with 2 dimensional fewer than number of input attributes
C. a plane with 1 dimensional more than number of input attributes
D. a plane with 2 dimensional more than number of input attributes
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Imagine a Newly-Born starts to learn walking. It will try to find a suitable policy to learn walking after repeated falling and getting up.specify what type of machine learning is best suited?
A. classification
B. regression
C. kmeans algorithm
D. reinforcement learning
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What are the popular algorithms of Machine Learning?
A. decision trees and neural networks (back propagation)
B. probabilistic networks and nearest neighbor
C. support vector machines
D. all
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A machine learning problem involves four attributes plus a class. The attributes have 3, 2, 2, and 2 possible values each. The class has 3 possible values. How many maximum possible different examples are there?
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In machine learning, an algorithm (or learning algorithm) is said to be unstable if a small change in training data cause the large change in the learned classifiers. True or False: Bagging of unstable classifiers is a good idea
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Which of the following is characteristic of best machine learning method ?
A. fast
B. accuracy
C. scalable
D. all above
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Machine learning techniques differ from statistical techniques in that machine learning methods
A. typically assume an underlying distribution for the data.
B. are better able to deal with missing and noisy data.
C. are not able to explain their behavior.
D. have trouble with large-sized datasets.
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What is Model Selection in Machine Learning?
A. The process of selecting models among different mathematical models, which are used to describe the same data set
B. when a statistical model describes random error or noise instead of underlying relationship
C. Find interesting directions in data and find novel observations/ database cleaning
D. All above
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Some people are using the term . . . . . . . . instead of prediction only to avoid the weird idea that machine learning is a sort of modern magic.
A. Inference
B. Interference
C. Accuracy
D. None of above
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