This skills test helps talent professionals test candidates and employees on all the skills required for expertise in Machine Learning. It helps evaluate individuals on NLP, Data Processing, and more. The test helps in talent development and reduces the overall technical screening time by 80%.
It refers to a type of Machine Learning in which machines are trained with well-labelled training data. It is considered a subcategory of Machine Learning and Artificial Intelligence and can be used to classify data or predict specific outcomes. This concept is often used for Risk Assessment, detecting fraud, filtering spam, and image classification.
Why Choose iMocha’s Assessment?
The Skills Test offers an objective way of testing candidates and existing employees on skills such as data processing, hyperparameter tuning, neural networks, and more. It can easily reduce the interview-to-hire ratio by 80%, identify skill gaps, and help you benchmark talent on the industry scale. The test uses a combination of Multiple Choice Questions, True or False statements, and more to test a candidate's aptitude in Supervised Learning.
This test assesses candidates for the following skills:
The test can also be coupled with features that prevent individuals from being able to cheat, such as video proctoring and window violation. It also comes with the ability to restrict access to different members of the hiring team using the role-based access feature.
iMocha's Skills Test is customized to assess individuals based on the key skills they need to be hired for the role of a Machine Learning Engineer. Hiring Managers can choose from various difficulty levels and also customize the test with a combination of different types of questions.
Talent professionals can also use features such as the Coding Simulators and AI-EnglishPro to assess candidates on various skills.
Some of the most common interview questions related to this skill include the following: