Online Machine Learning Quiz Test
Topics covered
Linear Regression, Accuracy Matrix, Overfitting Issue, Decision Tree, Support Vector Machines, Exploratory Analysis, Bias and Variance, Cross Validation, Neutral Networks
Machine Learning Quiz helps recruiters & hiring managers to validate the proficiency of candidates in Machine Learning before an interview. Machine learning is basically the science of getting computers to act without being explicitly programmed. It is a method of data analysis that automates analytical model building. Online Machine Learning quiz test is designed & developed to check the skills of a Machine Learning Developer - as per Industry Standards.
The Machine Learning skill assessment test contains questions on following Topics:
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Linear Regression
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Accuracy Matrix
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Overfitting Issue
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Decision Tree
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Support Vector Machines
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Exploratory Analysis
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Bias and Variance
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Cross Validation
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Neutral Networks
Online Machine Learning quiz is created & validated by our subject matter experts (SME)s that contains questions on Machine Learning. We also provide customizable assessments if asked for. Using powerful reporting, you will have a detailed analysis of test results to help you make better decisions and predict candidate and employee success.
The test contains MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blank, Descriptive, True or False.
This pre-employment test is useful for hiring:
Machine Learning Engineer
- Machine Learning Developer
- Machine Learning Expert
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Machine Learning Specialist
Test details:
The Machine Learning online quiz test enables employers and recruiters to identify & hire Machine Learning developer by evaluating their working skills and job readiness of candidates. For this reason, the emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience, rather than theoretical knowledge.
Test Details: 20 minutes
20 Application Questions
The combination of Application questions helps to evaluate Technical as well as practical Skills of Candidates.
Machine Learning Test
Question #1 of 3
Suppose you clustered the dataset using some clustering algorithm. To check if the clustering is right or not you measured InterClusterDistance (IeCD) and IntraClusterDistance (IaCD). Let’s say = IeCDIaCD. Which of the following value of α suggests good clustering?
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0 < α < 1
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α = 1
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α > 1
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α = 0
Question #2 of 3
You are reviewing papers for the World’s Fanciest Machine Learning Conference, and you see submissions with the following claims. Which ones would you consider accepting?
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My method achieves a training error lower than all previous methods!
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My method achieves a test error lower than all previous methods! (Footnote: When regularization parameter λ is chosen so as to minimize test error.)
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My method achieves a test error lower than all previous methods! (Footnote: When regularization parameter λis chose so as to minimize cross-validation error.)
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My method achieves a cross-validation error lower than all previous methods! (Footnote: When regularization parameter λ is chosen so as to minimize cross-validation error.)
Question #3 of 3
You trained a Neural Network on a dataset and observed that it is overfitting. Which of the following is a possible solution?
(i) Add more neurons to the layers (ii) add more layers
(iii) Decrease the sizes of the layers (iv) Add dropout
(v) Increase the learning rate (vi) Decrease the learning rate
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i, ii, v
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iii, ii, vi
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ii, iv, vi
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iii, iv
Java EE
Hibernate
Oracle PL/SQL
Analytical Thinking
Note:If score<= 30% then its a Weakness. If score >=70% then its a Strength.
Java EE, Oracle PL/SQL, Analytical Thinking
Hibernate
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