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Machine Learning

Machine Learning

Evaluates knowledge and understanding of Machine Learning principles, algorithms, and tools, essential for tech roles.

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Type
Hard skills
Time
10 min
Level
Basic
Languages
English

Machine Learning test: harnessing the power of data-driven decision-making

Discover the potential of candidates with our Machine Learning pre-employment test. Designed to assess a deep understanding of machine learning's core principles, algorithms, and tools, this assessment is your toolkit for identifying experts who can leverage data science to propel your business forward. Dive into the complexities of machine learning and pinpoint individuals capable of tackling real-world problems with innovative solutions.

Unique features of the Machine Learning assessment

  • Comprehensive coverage: Encompasses a broad spectrum of machine learning topics, from fundamental concepts to advanced applications.
  • Practical scenarios: Test items are based on real-world situations, evaluating candidates' ability to apply theoretical knowledge in practice.
  • Diverse question formats: Offers a mixture of question types, including scenario-based questions, to assess various aspects of machine learning proficiency.
  • Developed by experts: Questions crafted and reviewed by machine learning professionals, ensuring the test's relevance and accuracy.
  • Data-driven insights: Provides clear, actionable feedback on candidates' strengths and areas for improvement, aiding in informed decision-making.

Topics covered in the Machine Learning pre-screening assessment

This candidate screening tool delves into a range of crucial topics, preparing you to identify talent skilled in:

  • Fundamental concepts: Including confusion matrices, validation sets, and classification algorithms.
  • Software libraries: Assessing proficiency in Python and its key libraries for machine learning.
  • Advanced topics: Covering semi-supervised learning algorithms, statistical computing languages, and kernel functions in support vector machines (SVMs).

Best use of the Machine Learning knowledge test

This assessment is geared toward evaluating the machine learning expertise of candidates for several technology-centric roles, including:

  • Data scientists: Ideal for assessing the capability to analyze data and develop algorithms.
  • Machine learning engineers: Perfect for screening professionals tasked with designing and implementing ML algorithms.
  • AI specialists: Helps in evaluating the understanding of machine learning as it applies to artificial intelligence projects.
  • Software developers: Suitable for those developing applications that incorporate machine learning features.
  • Research analysts: Crucial for assessing the ability to use machine learning in data interpretation and research projects.

Meet the subject matter expert behind the test

Credentials:
Experience:

What modern teams using HiPeople are saying.

“The turnaround time is great! We aren’t missing a candidate reference. Reference Checks can be a daunting task, but HiPeople makes it really easy.”

Tiera Dobbins, Talent Acquisition Services and Operations Manager at NFL National Football League
Tiera Dobbins
Talent Acquisition Services & Operations Manager

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Sarah Garner, Director of Recruitment and Outreach at Vivvi
Sarah Garner
Director of Recruitment and Outreach

“We use HiPeople Assessments for volume hiring. With the introduction of HiPeople our work has reduced by about 50%”

Prem Kumar, Talent Acquisition Manager - Recruitment and Employer Branding at DAZN
Prem Kumar
Talent Acquisition Manager - Recruitment & Employer Branding

“Being able to use HiPeople’s AI-enable features allows for a better screening process to make sure that we are getting the right candidates.”

Alex Anderson, Learning & Development Specialist at Colas Canada
Alex Anderson
Learning & Development Specialist

“With HiPeople we are saving between 250-500 hours of screening time every year. We completely switched to a skill-based candidate assessment in pre-screening.”

Maximilian Rauschen, Head of Talent Acquisition at Tourlane
Maximilian Rauschen
Head of Talent Acquisition

“We use HiPeople to objectively assess our candidate’s skills and capabilities. The more data we have, the more we can influence our quality-of-hire.”

Matthias Schmeisser, Global Senior Director, Talent Acquisition and Employer Branding at Emnify
Matthias Schmeisser
Global Senior Director, Talent Acquisition & Employer Branding

“HiPeople has been really helpful for us in automating the reference check process, verifying who the references are, and doing it in a much more fast and efficient way.”

Charlie Boyle, Senior Lead, Talent Acquisition Policy, Operations & Technology at Celonis
Charlie Boyle
Senior Lead, Talent Acquisition Policy, Operations & Technology

“Our former reference process was really archaic, very sticky. HiPeople has really given us the ability to customize when and how we do reference checks. That is really amazing!”

Janna Karwaski, Senior Director of Workforce Optimization at IntelyCare
Janna Karwaski
Senior Director of Workforce Optimization

Take the guesswork out of screening

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Machine Learning Test FAQs

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HiPeople Assessments FAQs

What is HiPeople?

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Organizations incorporating our assessments early on in their hiring process report significant benefits: 91% less screening time, 62% faster time-to-hire, $801 cost savings per hire, and 21x fewer mis-hires. This efficiency ensures you're making informed decisions from the outset, leading to better hires and streamlined recruitment processes.

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Tiera Dobbins

Talent Acquisition Services & Operations Manager

Sarah Garner

Director of Recruitment and Outreach

Prem Kumar

Talent Acquisition Manager - Recruitment & Employer Branding

Alex Anderson

Learning & Development Specialist

Maximilian Rauschen

Head of Talent Acquisition

Matthias Schmeisser

Global Senior Director, Talent Acquisition & Employer Branding

Charlie Boyle

Senior Lead, Talent Acquisition Policy, Operations & Technology

Janna Karwaski

Senior Director of Workforce Optimization