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Machine Learning Online Test

Topics Covered

  • Linear Regression
  • Accuracy Matrix
  • Overfitting Issue
  • Decision
  • Tree
  • Support Vector Machines
  • Exploratory Analysis
  • Bias and Variance
  • Cross-Validation
  • Neutral Networks

Useful for hiring

  • Machine Learning Engineer
  • Machine Learning Developer
  • Machine Learning Expert
  • Machine Learning Specialist

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Sample Questions of this test
Question

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?

Answer

    • 0 < α < 1

    • α = 1

    • α > 1

    • α = 0

Question

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?

Answer

    • My method achieves a training error lower than all previous methods!

    • My method achieves a test error lower than all previous methods! (Footnote: When regularization parameter λ is chosen so as to minimize test error.)

    • My method achieves a test error lower than all previous methods! (Footnote: When regularization parameter λis chose so as to minimize cross-validation error.)

    • 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

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

Answer

    • i, ii, v

    • iii, ii, vi

    • ii, iv, vi

    • iii, iv

View Test Details

Test details:

Machine Learning developer test will evaluate candidate’s practical knowledge and will identify whether the candidate is ready to be employed. For this reason, the emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience, rather than theoretical knowledge.
 
Machine Learning quiz test may contain MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blank, Descriptive, Whiteboard Questions, Audio / Video Questions, True or False.


Test Details: 20 minutes

10 Application Questions

 

Test description:

Machine Learning is the science of getting computers to act without being explicitly programmed. It is a method of data analysis that automates analytical model building. Machine Learning is a part of artificial intelligence which uses statistical techniques to give computers the ability to learn with data.

Machine Learning online test helps hiring managers & recruiters to find the best suitable candidate by assessing his/her ability to work on Machine Learning. Machine Learning online quiz test is designed & validated by industry experts to assess & hire Machine Learning developer as per the industry standards.
  
Machine Learning assessment test contains questions on following Topics:

1.  Excellent understanding of machine learning techniques and algorithms, such as k-NN, SVM
2.  Ability to perform explanatory data analysis
3.  Excellent capability to prepare and analyze historical data and identify patterns
4.  Good knowledge of working on linear regression, LDA
 
Interview Mocha’s Machine Learning online quiz test has a unique set of questions. You can also create or ask us to create a customized test that includes questions which are specific to your job-requirement. Moreover, the Machine Learning assessment test can be taken by candidates from anywhere in the comfort of their time zone.

Our powerful reporting helps you to analyze section wise performance of candidate to gauge his/her strengths and weaknesses. Moreover, you can always use our candidate ranking tool to screen the best performing candidate amongst others.

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