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Machine Learning Axioms Q&A

If you have a basket of different fruit varieties with some prior information on size, color, shape of each and every fruit . Which learning methodology is best applicable?
Supervised Learning — Correct

Do you think heuristic for rule learning and heuristics for decision trees are both same ?
False — Correct

What is the benefit of Naïve Bayes ?
Requires less training data — Correct

What is the advantage of using an iterative algorithm like gradient descent ? (select the best)
For Nonlinear regression problems, there is no closed form solution — Correct

For which one of these relationships could we use a regression analysis? Choose the correct one
Relationship between Height & weight (both Quantitative) — Correct

Does Logistic regression check for the linear relationship between dependent and independent variables ?
False — Correct

Which helps SVM to implement the algorithm in high dimensional space?
Kernel — Correct

Kernel methods can be used for supervised and unsupervised problems
True — Correct

Perceptron is ___
a single layer feed-forward neural network — Correct

While running the same algorithm multiple times, which algorithm produces same results?
Hierarchical clustering — Correct


SVM will not perform well with large data set because (select the best answer)
classification becomes difficult , Difficult to simulate model — Wrong
training time is high
— selected

In a scenario, where the statistical model describes random error or noise instead of underlying relationship, what happens
Overfitting — Correct

Consider a regression equation, Now which of the following could not be answered by regression?
Estimate whether the association is linear or non-linear — Correct

Now Can you make quick guess where Decision tree will fall into _
Supervised Learning — Correct

The main difficulty with using a regression line to analyze these data is _____
presence of 1 or more outliers — Correct

For which one of these relationships could we use a regression analysis? Chose the correct one
Relationship between Height & weight (both Quantitative) — Correct

The correlation between two variables is given by r = 0.0. . This means
The best straight line through the data is horizontal. — Correct

Which of the following is not example of Clustering?
Market segmentation , Anomaly detection , Image segmentation — Wrong
— selected

Most famous technique used in Text mining is
Naive Bayes — Correct

Disadvantage of Neural network according to your purview is
takes long time to be trained — Correct

One has to run through ALL the samples in your training set to do a single update for a parameter in a particular iteration. This is applicable for
Gradient Descent — Correct

Which type of the clustering could handle Big Data?
K Means clustering — Correct

Effect of outlier on the correlation coefficient __
An outlier might either decrease or increase a correlation coefficient, depending on where it is in relation to the other points — Correct

If the outcome is continuous, which model to be applied?
Multi-Linear Regression — Correct

SVM uses which method for pattern analysis in High dimensional space?
Kernel — Correct

The model which is widely used for the classification is
Segmentation — Wrong

Objective of unsupervised data covers all these aspect except
low-dimensional representations of the data , find clusters of the data , detect interesting coordinates and correlations — Wrong
— selected

Correlation and regression are concerned with the relationship between _
2 quantitative variables — Correct

Which model helps SVM to implement the algorithm in high dimensional space?
Kernel — Correct

In Kernel trick method, We do not need the coordinates of the data in the feature space
True — Correct

What are different types of Supervised learning
regression and classification — Correct

Which methodology works with clear margins of separation points?
Support Vector Machine — Correct

Which of the learning methodology applies conditional probability of all the variables with respective the dependent variable?
Supervised Learning — Correct

The main problem with using single regression line
presence of 1 or more outliers — Correct

What are the advantages of neural networks (i) ability to learn by example (ii) fault tolerant (iii) suited for real time operation due to their high ‘computational’ rates
All the options are correct — Correct

Which clustering technique requires prior knowledge of the number of clusters required?
K Means clustering — Correct

Which technique implicitly defines the class of possible patterns by introducing a notion of similarity between data?
SVM , Multi-Linear Regression , Hierarchical clustering — Wrong
— selected

Which of them, best represents the property of Kernel?
Modularity — Correct

The model in which one estimates the probability that the outcome variable assumes a certain value, rather than estimating the value itself.
Logistic Regression — Correct

If the outcome is binary(0/1), which model to be applied?
Logistic Regression — Correct

SVM will not perform well with data with more noise because (select the best answer)
target classes could overlap — correct

The standard approach to supervised learning is to split the set of example into the training set and the test
True — Correct

One Comment

  1. AnonymousAnonymous
    Anonymous

    The model which is widely used for the classification is -Segmentation is Incorrect
    Which of the following is not example of Clustering? — Recommendation engines is incorrect

    29 January 2021 at 5:15 pm Reply

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