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%.
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 assess Machine Learning skills of the candidate. Machine Learning online quiz test is designed & validated by Subject Matter Experts (SME) to assess & hire Machine Learning developer as per the industry standards.
Machine Learning assessment test helps to screen the candidates who possess traits as follows:
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
Machine Learning online test evaluates candidates' ability to use linear regression algorithm for forecasting and finding cause and effect relationship between variables
This Machine Learning assessment test quantifies developers' ability to calculate Accuracy Matrix
Our Machine learning test helps to assess candidates' proficiency in avoiding overfitting issue in Machine Learning
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
This online assessment helps to check candidates' ability to work on Support Vector Machines algorithm for classification or regression challenges
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
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
This test can be used to check candidates' knowledge of using cross-validation to detect overfitting
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
Choose from our 100,000+ question library or add your own questions to make powerful custom tests
Machine Learning Algorithms - Latent Dirichlet Allocation
Types of Machine Learning
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Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.
Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.
Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.
Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.
“As a Talent Acquisition Manager, I observed that my team spent too much time in interviewing irrelevant candidates. So our team created an Aptitude evaluation test called Uneecops Common Aptitude Test (UCAT) with the help of iMocha. Now, we share the test with the candidates & based on the assessment report we were able to filter 170 good candidates from the pool of 300.”