HCIF MCQ
Which of the following is an application of CBR{Case-based reasoning }? Diagnosis Design Planning All of the above
B) Design is an application of CBR.
Choose whether true or false: Decision tree cannot be used for clustering True/False
B) False. A decision tree can be used for clustering.
Identify the kind of learning algorithm for "facial identities for facial expressions". Prediction Recognise patterns Recognising anomalies Generating patterns
B) For facial identities and facial expression, "recognition patterns" is used
FIND-S algorithm ignores? Positive Negative Both None
Negative
Which of the following is not a supervised learning PCA Naïve Bayesian Linear regression Decision tree
PCA
Which of the following is not a machine learning algorithm? SVM SVG Random Test None of the above
SVG
Identify the model which is trained with data in only a single batch. Offline learning Batch learning Both A and B None
C) The model is trained with data in only a single batch. is known as batch learning or offline learning
The most significant phase in genetic algorithm is _________ Mutation Selection Fitness function Crossover
Crossover
Choose the options below of which the area CLT is comprised of. Mistake bound Sample complexity Computational complexity All of the above
D) The area CLT is comprised of all of the above.
Among the following options identify the one which is false regarding regression. It is used for prediction It is used for interpretation It relates inputs to outputs It discovers casual relationships
It discovers casual relationships
Select the correct definition of neuro software. It is software used by neurosurgeons It is software used to analyze neurons It is a powerful and easy neural network None of the above
It is a powerful and easy neural network
Machine learning as various Search and Optimisation algorithms. Identify among the following which is not evolutionary computation. Genetic algorithm Generic programming Neuroevolution Perception
Perception
Among the following option identify the one which is used to create the most common graph types. Plot Quickplot Qplot All of the above
Qplot
Machine learning is a subset of which of the following. Artificial intelligence Deep learning Data learning None of the above
A) Machine learning is a subset of artificial intelligence.
Among the following option identify the one which is not a type of learning Semi unsupervised learning Supervised learning Reinforcement learning unsupervised learning
A) Semi unsupervised learning is incorrect.
Is the following statement is true or false: Artificial intelligence is the process that allows a computer to learn and make decisions like humans.
A) The above statement is true.
Choose whether the following statement is true or false: The backpropagation law is also known as the generalized Delta rule.
A) True. The backpropagation law is also known as the generalized Delta rule
Choose that following statement is true or false: True error is defined over the entire instance space, and not just over training data
A) True. the above statement is correct.
Choose the correct advantages of CBR. Fast to train A local approximation is found for each test case Knowledge is in a form understanding by human All of the above
All of the above
Choose the general limitations of the backpropagation rule among the following. Slow convergence Scaling Local minima problem All of the above
All of the above
Choose the most widely used mattress and tools to assess the classification models. The area under the ROC curve Confusion matrix Cost-sensitive accuracy All of the above
All of the above
Identify the successful applications of ML. Learning to classify new astronomical structures Learning to recognize spoken words Learning to drive an autonomous vehicle All of the above
All of the above
Which of the following are common classes of problems in machine learning? Regression Classification Clustering All of the above
All of the above
Full form of PAC is _____________ Probably Approximate Cost Probably Approximate Correct Probably Approximate Communication Probably Approximate Cumputation
B) PAC stands for Probably Approximate Correct.
Which of the following machine learning algorithm is based upon the idea of bagging? Decision tree Random tree Classification Regression
B) Random forest is based on the idea of bagging.
Identify the type of learning in which labeled training data is used. Semi unsupervised learning Supervised learning Reinforcement learning unsupervised learning
B) Supervised learning uses labeled training data.
What is the term known as on which the machine learning algorithms build a model based on sample data? Data training Training data Transfer data None of the above
B) The term is known as training data.
Identify the method which is used for train Control resampling. svm repeatedcv Bag32 None of the above
B) repeatedcv is used for trainControl resampling.
Identify the difficulties with the k-nearest neighbor algorithm. Curse of dimensionality Calculate the distance of the test case from all training cases Both A and B None of the above
Both A and B
What is true about Machine Learning? Artificial intelligence Rule-based inference Both A and B None of the above
C)
Analysis of ML algorithm needs Statistical learning theory Computational learning theory Both A and B None of the above
C) Analysis of ML algorithms needs both statistical learning theory and computational learning theory.
What is the application of machine learning methods to a large database called? Big data computing Internet of things Data mining Artificial intelligence
C) Application of machine learning methods to large databases is known as data mining.
Choose a disadvantage of decision trees: Decision trees are robust to outliers Factor analysis Decision trees are prone to overfit All of the above
C) Decision trees are prone to overfitting.
Which of the following machine learning techniques helps in detecting the outliers in data? Classification Clustering Anatomy detection All of the above
C) The machine learning algorithm which helps in detecting the outliers is known as anomaly detection.
The total types of the layer in radial basis function neural networks is ______
C) There is a total of 3 types of layered in radial basis function neural networks.
Identify the incorrect numerical functions in the various function representation of machine learning. Case-based Support vector machines Linear regression Neural network
Case-based
Which of the following is not machine learning? Artificial intelligence Rule-based inference Both A and B None of the above
D)
Among the following identify the one in which dimensionality reduction reduces. Performance Entropy Stochastics Collinearity
D) Dimensionality reduction reduces collinearity.
Identify the clustering method which takes care of variance in data Decision tree Gaussian mixture model K means All of the above
Gaussian mixture model
The father of machine learning is _____________ Geoffrey Everest Hinton Geoffrey Hill Geoffrey Chaucer None of the above
Geoffrey Everest Hinton
Choose the instance-based learner. Eager learner Lazy learner Bothe A and B are correct None of the above
Lazy learner
What is unsupervised learning? Number of groups may be known Features of group explicitly stated Neither feature nor number of groups is known None of the above
Neither feature nor number of groups is known
Which of the following is not machine learning disciplines? Information theory Optimisation + control Physics Neuro statistics
Neuro statistics
What does K stand for in K mean algorithm? Number of clusters Number of data Number of attributes Number of iterations
Number of iterations
Identify whether true or false: In PCA the number of input dimensions is equal to principal components.
TRUE [Principal Component Analysis (PCA) is one of the most commonly used unsupervised machine learning algorithms across a variety of applications: exploratory data analysis, dimensionality reduction, information compression, data de-noising, and plenty more.] A) True. In PCA the number of input dimensions is equal to principal components
