This test assesses candidates' proficiency in model building and training analytics, deep learning algorithms and techniques, AutoML capabilities, deployment, and inference in the context of the H20.ai platform.
Candidates will be evaluated on their ability to leverage the platform's tools to build and train models, optimize hyperparameters, and deploy models into production environments. They will also be assessed on their understanding of deep learning concepts, such as neural networks, convolutional neural networks, and recurrent neural networks.
Questions
20
Time
20 min
Level
intermediate
Used
5834
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People hired
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74%
of employers admitted to making the mistake of hiring someone unsuitable for a job.
27%
of businesses reported incurring losses of over $75,000 due to incorrect hiring decisions.
50%
chance of a hiring manager making an incorrect hiring choice.
23%
of businesses reported a decrease in output due to an unsuitable hire.
<10%
of unstructured job interviews are effective at predicting the best candidates.
Why does it happen?
hiring is difficult due to reliance on subjective, inconsistent opinions.
H20.ai assessments are designed to assist HR managers and hiring companies in their pre-employment screening process. These skill tests allow companies to evaluate job candidates' abilities in a wide range of areas. By using the online platform provided by Hirenest, HR managers can conveniently administer these assessments at an affordable price. H20.ai assessments cover aptitude tests with examples, questions, and answers, enabling HR managers to make informed decisions during the hiring process. Improve your hiring success rate today with H20.ai assessments.