Test Duration
30 min
Difficulty Level
Moderate
Questions
- 12 Maskinelæring MCQs
Availability
Ready to use
Machine Learning Assessment Test
About the test:
The pre-employment machine learning assessment test evaluates a candidate's understanding of machine learning fundamentals like feature engineering, regression, variance, conditional probability, clustering, decision trees, nearest neighbors, Naïve Bayes, bias and overfitting. The test also assesses them on their ability to collect and prepare the dataset, train a model, evaluate the model, and iteratively improve the model's performance.
Covered skills:
- Linear Regression
- Classification
- Gradient Descent
- Accuracy Matrix
See all covered skills
9 reasons why
9 reasons why
Adaface Machine Learning Assessment Test is the most accurate way to shortlist Machine Learning Engineers
Reason #1
Tests for on-the-job skills
The Machine Learning Assessment Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates.
The pre-employment machine learning assessment test screens candidates for the typical skills recruiters look for Machine Learning developer roles:
- Experience designing, developing, and researching Machine Learning models
- Deep understanding of fundamental data structures and data modeling
- Expertise in math, probability and statistics
- Ability to write robust code
- Experience with machine learning frameworks (like Keras, PyTorch, Tensorflow etc.) and libraries (like scikit-learn, Numpy, Pandas etc.)
- Ability to choose hardware for running an ML model with the needed latency
The insights generated from this assessment can be used by recruiters and hiring managers to identify the best candidates for Machine Learning developer roles. Anti-cheating features enable you to be comfortable with conducting assessments online. The Machine Learning Assessment Test is ideal for helping recruiters identify which candidates have the skills to do well on the job.
Reason #2
No trick questions
Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.
The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.
Why we started Adaface ->Reason #3
Non-googleable questions
We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.
Dette er kun en lille prøve fra vores bibliotek med 10.000+ spørgsmål. De faktiske spørgsmål om dette Machine Learning Assessment Test vil være ikke-gåbart.
| 🧐 Question | |||||
|---|---|---|---|---|---|
Medium n-gram generator | Solve | ||||
 | |||||
| 🧐 Question | 🔧 Skill | ||
|---|---|---|---|
Medium n-gram generator | 2 mins Machine Learning | Solve |
| 🧐 Question | 🔧 Skill | 💪 Difficulty | ⌛ Time | ||
|---|---|---|---|---|---|
n-gram generator | Machine Learning | Medium | 2 mins | Solve |
Reason #4
1200+ customers in 75 countries
Med Adaface var vi i stand til at optimere vores indledende screeningsproces med op til 75%, hvilket frigør dyrebar tid for både ansættelsesledere og vores talentindsamlingsteam!
Brandon Lee, Leder af mennesker, Love, Bonito
Reason #5
Designed for elimination, not selection
The most important thing while implementing the pre-employment Machine Learning Assessment Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.
Reason #6
1 click candidate invites
Email invites: You can send candidates an email invite to the Machine Learning Assessment Test from your dashboard by entering their email address.
Public link: You can create a public link for each test that you can share with candidates.
API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.
Reason #8
High completion rate
Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.
This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.
Reason #9
Advanced Proctoring
User authentication
Plagiarism detection
IP proctoring
Web proctoring
Webcam proctoring
Copy paste protection
De ansættelsesledere mente, at de gennem de tekniske spørgsmål, som de stillede under panelinterviewene, kunne fortælle, hvilke kandidater der havde bedre scoringer, og differentierede med dem, der ikke scorede så godt. De er meget tilfreds med kvaliteten af kandidater, der er på listen med Adaface -screeningen.
85%
Reduktion i screeningstid
Machine Learning Online Test FAQs
Hvilken type spørgsmål inkluderer maskinlæringstesten?
Denne forudgående ansættelsesmaskinindlæringstest består af scenariebaserede spørgsmål, der kræver, at kandidater demonstrerer deres evne til at:
- Forbered data til maskinlæringsalgoritmer
- Brug ML -algoritmer som logistisk regression, supportvektormaskiner, beslutningstræer og tilfældige skove til klassificering
- Byg klynge -algoritmer
- foreslå den mest passende algoritme til en bestemt brugssag
- Estimer ydelse af læringsalgoritmer
Kan denne test eller vurdering bruges til senior maskinlæringsingeniørroller?
For senior maskinlæringsingeniører kan du anmode om en brugerdefineret test. Inden for 48 timer vil vores emneeksperter tilpasse vurderingen i overensstemmelse med din jobbeskrivelse og anciennitetsniveau. En typisk test for seniorroller, ud over grundlæggende forhold, vil testen fokusere på at teste en kandidats evne til at:
- Struktur ML -projekter
- Identificer mangler ved forskellige maskinlæringsalgoritmer
- Design en data om rengøring og dataremikling
- Vælg ordentlige evalueringsmetrik for at forbedre modelydelsen
- Vurder virkningen af hardwareydelse på maskinlæringsalgoritmerne
Kan jeg kombinere flere færdigheder i en brugerdefineret vurdering?
Ja absolut. Brugerdefinerede vurderinger er oprettet baseret på din jobbeskrivelse og vil omfatte spørgsmål om alle must-have-færdigheder, du angiver.
Har du nogen anti-cheating eller proctoring-funktioner på plads?
Vi har følgende anti-cheating-funktioner på plads:
- Ikke-gåbare spørgsmål
- IP Proctoring
- Webproctoring
- Webcam Proctoring
- Detektion af plagiering
- Sikker browser
Læs mere om Proctoring Features.
Hvordan fortolker jeg testresultater?
Den primære ting at huske på er, at en vurdering er et elimineringsværktøj, ikke et udvælgelsesværktøj. En færdighedsvurdering er optimeret for at hjælpe dig med at eliminere kandidater, der ikke er teknisk kvalificerede til rollen, den er ikke optimeret til at hjælpe dig med at finde den bedste kandidat til rollen. Så den ideelle måde at bruge en vurdering på er at beslutte en tærskelværdi (typisk 55%, vi hjælper dig med benchmark) og inviterer alle kandidater, der scorer over tærsklen for de næste interviewrunder.
Hvilken oplevelsesniveau kan jeg bruge denne test til?
Hver Adaface -vurdering tilpasses til din jobbeskrivelse/ ideel kandidatperson (vores emneeksperter vælger de rigtige spørgsmål til din vurdering fra vores bibliotek på 10000+ spørgsmål). Denne vurdering kan tilpasses til ethvert erfaringsniveau.
Får hver kandidat de samme spørgsmål?
Ja, det gør det meget lettere for dig at sammenligne kandidater. Valgmuligheder for MCQ -spørgsmål og rækkefølgen af spørgsmål randomiseres. Vi har anti-cheating/proctoring funktioner på plads. I vores virksomhedsplan har vi også muligheden for at oprette flere versioner af den samme vurdering med spørgsmål om lignende vanskelighedsniveauer.
Jeg er kandidat. Kan jeg prøve en øvelsestest?
Nej. Desværre understøtter vi ikke praksisforsøg i øjeblikket. Du kan dog bruge vores eksempler på spørgsmål til praksis.
Hvad er omkostningerne ved at bruge denne test?
Du kan tjekke vores prisplaner.
Kan jeg få en gratis prøve?
Ja, du kan tilmelde dig gratis og forhåndsvise denne test.
Jeg flyttede lige til en betalt plan. Hvordan kan jeg anmode om en brugerdefineret vurdering?
Her er en hurtig guide til hvordan man anmoder om en brugerdefineret vurdering på adaface.
Join 1200+ companies in 75+ countries.
Prøv det mest kandidatvenlige færdighedsvurderingsværktøj i dag.
Ready to use the Adaface Machine Learning Assessment Test?
Ready to use the Adaface Machine Learning Assessment Test?
