Machine Learning Online Test

Candidates Assessed

11378+

Organisations Served

124+

Machine Learning online test helps recruiters & hiring managers to accurately and objectively assess Machine Learning skills of candidates. Machine Learning assessment test is useful for hiring Machine Learning developer, Machine Learning Engineer and Machine Learning expert and helps reduce hiring costs by 40%.

Test Summary

Machine Learning assessment test helps to screen the candidates who possess traits as follows:

Excellent understanding of machine learning techniques and algorithms, such as k-NN, SVM
Ability to perform explanatory data analysis
Excellent capability to prepare and analyze historical data and identify patterns
Good knowledge of working on linear regression, LDA

iMocha’s Machine Learning online quiz test has a unique set of questions. You can also create or ask us for 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.

Machine Learning developer test comes with powerful reporting which helps you to analyze section wise performance of candidate to gauge his/her strengths and weaknesses.

Machine Learning quiz test may contain MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, AI-LogicBox (Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc.

Test Duration: 20 minutes

No. of Questions: 15

Level of Expertise: Mid

Useful for hiring

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

Topics Covered

Linear Regression

Machine Learning online test evaluates candidates' ability to use linear regression algorithm for forecasting and finding cause and effect relationship between variables

Accuracy Matrix

This Machine Learning assessment test quantifies developers' ability to calculate Accuracy Matrix

Overfitting Issue

Our Machine learning test helps to assess candidates' proficiency in avoiding overfitting issue in Machine Learning

Decision Tree

Machine Learning developer test evaluate developers' knowledge of using a Decision Tree to create a training model that can be used to predict the class or value of the target variable

Support Vector Machines

This online assessment helps to check candidates' ability to work on Support Vector Machines algorithm for classification or regression challenges

Exploratory Analysis

Our Machine Learning test checks candidate's knowledge about using exploratory analysis to discover patterns, test hypothesis, & spot anomalies with the help of summary statistics and graphical representations

Bias and Variance

Machine Learning online test helps to assess candidates' proficiency of using bias and variance for building machine-learning algorithms that create accurate results from their models

Cross-Validation

This test can be used to check candidates' knowledge of using cross-validation to detect overfitting

Neural Networks

Our ML assessment assesses developers' ability to use Neural Networks to model complex patterns in datasets using multiple hidden layers and non-linear activation functions

Sample Questions

Choose from our 100,000+ question library or add your own questions to make powerful custom tests

Question types:

Multiple Option

Topic:

Machine Learning Algorithms - Latent Dirichlet Allocation

Difficulty:

Hard

Q 1. As a machine learning expert, your task in the company is to research and present a specific algorithm during the weekly brown bag session. During your turn, you are assigned the LDA or Latent Dirichlet Allocation. After your presentation, a colleague is still confused about what LDA is. How can you explain it in simpler terms?

LDA is a generative model that represents documents as a mixture of topics, each of which has its own probability distribution of possible words.

LDA is a discriminative model that represents documents as a mixture of topics, each of which has its own probability distribution of possible words.

LDA is a generative model that represents documents as a mixture of topics, each of which has its own probability distribution of all the words.

LDA is a discriminative model that represents documents as a mixture of topics, each of which has a dependent probability distribution of possible words.

Question types:

Multiple Option

Topic:

Types of Machine Learning

Difficulty:

Easy

Q 2. You have to teach a broom how to sweep the floor. The actions to be taken are simply to shift left, shift right, or sweep. What type of machine learning will you use to teach the broom when is the right time to sweep or move?

Supervised Learning

Unsupervised Learning

Reinforcement Learning

You can customize this test by

Setting difficulty level of test

Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

Combining multiple skills into one test

Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.

Adding your own questions to the test

Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.

Requesting a tailor-made test

Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

Related Skills

Alteryx Skill Test

Trusted By

“Siemens needed an employee review metric that was based on pure data, making it simpler for the hiring managers to evaluate their team. At the same time, we wanted the employees to be able to show case their domain knowledge and skills without the fear of any biases affecting their review process.”