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Machine Learning Test

The Machine Learning Test is preferred by recruiters to assess on-the-job skills of candidates before an interview. It reduces technical screening time by 80% by enabling employers to identify qualified candidates.

Customized Based On:

  • Experience/ difficulty level
  • Multiple skills in 1 assessment
  • Job description/ role requirements

Topics:

Artificial Intelligence
Data Science
Computer Science
Mathematics
Statistics
Data Mining
Deep Learning
Computer Science
Natural Language Processing
Text Mining
Optimization
See full list

Sample Adaface Machine Learning Test Questions

These are just a small sample from our library of 10,000+ questions. The actual questions on this Machine Learning Test will be non-googleable.

🧐 Question🔧 Skill💪 Difficulty⌛ Time
n-gram generator
Our newest machine learning developer want to write a function to calculate the n-gram of any text. An N-gram means a sequence of N words. So for example, "black cats" is a 2-gram, "saw black cats" is a 3-gram etc. The 2-gram of the sentence "the big bad wolf fell down" would be [["the", "big"], ["big", "bad"], ["bad", "wolf"], ["wolf", "fell"], ["fell", "down"]]. Can you help them select the correct function for the same?
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Machine LearningHard2 min

How to use the Adaface Machine Learning Test

Start screening candidates within minutes with the ready-to-go Machine Learning Test

1. Choose the most appropriate test for your role

2. Start inviting candidates to complete the assessment

3. Receive real time notifications and shortlist the best candidates

Customize the Adaface Machine Learning Test according to your job description

1. Get a custom assessment from our library of 500+ skills within 48 hours

2. Start inviting candidates to complete the assesment

3. Receive real time notifications and shortlist the best candidates

Adaface Machine Learning Test is trusted by enterprises worldwide

amazon
PayPal
Morgan Stanley
Adidas
SG Government
Neilsen
UCLA
Ernst and Young
Microsoft
WeWork
Bosch
Optimum Solutions
SAP
Doubtnut
Deloitte
HCL
FusionCharts
United Nations
Sokrati
Love Bonito
ZiMetrics
MTM

About the Adaface Machine Learning Test

Evaluate Machine Learning technical skills with Adaface skills assessment platform powered by an intelligent chatbot.

Topics:

Artificial Intelligence
Data Science
Computer Science
Mathematics
Statistics
Data Mining
Deep Learning
Computer Science
Natural Language Processing
Text Mining
Optimization
Planning
Data Aggregation
Data Preparation & Data Exploratory
Descriptive Analytics
Descriptive Statistics
Uni-variate Analysis
Bi-variate Analysis
Multivariate Analysis
Inferential Statistical Analysis
Outliers, Transformation
Scaling(Standardization, Normalization)
Feature Engineering
Pre-Model Building
Model Splitting
Training, Test Data
Regularization
Supervised Learning Algorithms
Regression: Linear Regression, Logistic Regression
Classification
Decision Tree

Bagging, Random Forest, Adaboost, GBM, XGBoost

Ensemble Techniques
K-Nearest Neighbors
Naive Bayes
Support Vector Machines
ANN
Unsupervised Learning Algorithms
Segmentation
K-Means Clustering
Agglomerative Hierarchical Clustering
DBSCAN Clustering
Association Analysis
Dimensionality Reduction
Principal Component Analysis
Model Metrics and Model Validation
Cross-Validation
Hyper Parameter Tuning
Overfitting and Underfitting
Bias-Variance Tradeoff

Recommended Roles:

Machine Learning Engineer
Machine Learning Developer

Why You Should Use This Machine Learning Test

The Machine Learning 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 Adaface Machine Learning Test screens candidates for the typical skills recruiters look for Machine Learning developer roles:

  • Knowledge of a deep learning framework, such as TensorFlow or Keras
  • Proficiency in Python and fundamental machine learning libraries such as scikit-learn and pandas
  • Knowledge of seeing and manipulating large datasets
  • Expertise in OpenCV
  • Knowledge of Linux
  • 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 Test is ideal for helping recruiters identify which candidates have the skills to do well on the job.

About Machine Learning Developer Roles

Machine learning (ML) is a subset of artificial intelligence (AI) that enables software programmes to grow increasingly effective at predicting outcomes without explicitly programming them to do so. Machine learning algorithms estimate new output values by using past data as input.

A machine learning (ML) developer is an expert in training models with data. Following that, the models are utilised to automate activities such as image classification, speech recognition, and market forecasting.

A machine learning developer creates a solution that is unique to each situation. The only way to get the best results is to thoroughly process the data and use the appropriate algorithm for the current situation.

Typical Machine Learning Developer/Engineer responsibilities include:

  • Understanding corporate objectives and creating models to assist them be accomplished, as well as measurements to track their success
  • Managing available resources such as hardware, data, and staff in order to meet deadlines
  • Analyzing the ML algorithms that may be utilised to tackle a particular problem and evaluating them based on their likelihood of success
  • Exploring and visualising data
  • Verifying and/or assuring data quality through data cleansing
  • Locating public datasets that might be utilised for training
  • Developing Validation Methodologies
  • Specifying the preprocessing or feature engineering that will be performed on a given dataset
  • Creating pipelines for data augmentation
  • Analyzing the model's flaws and devising solutions to overcome them

Distribution Of Test Scores

The actual score distributon will vary based on your candidate pipeline quality, but you should typically expect ~20% of the candidates to do well on Adaface assessments.

The score distribution for our assessments follow the normal curve. This is a good sign- standardized tests like SAT and GRE follow the normal distribution (bell curve).

Status quo assessments typically have the exact opposite of the bell curve (too many candidates getting close to 0, too many candidates getting close to 100 and too few candidates in the middle). This is typically because they focus on theoretical questions or trick questions, which are very binary in nature- either you know the trick/ theory or you don’t.

How Adaface Is Different

Adaface conversational assessments are reflective of on-the-job skills and see an 86% completion rate as compared to ~50% for traditional assessment platforms.

OLD WAY

TRADITIONAL TESTS

Theoretical questions/ puzzles

Feels like a test

One-size-fits-all assessments

😞
HIRE IN
Weeks/Months

NEW WAY

ADAFACE ASSESSMENTS

Questions for on-the-job skills

Conversational

Customized
assessments

😀️
HIRE IN
Days

FAQs

What is a custom assessment?

Every role is different and requires a custom assessment to identify top candidates efficiently. Adaface subject matter experts understand your job description/ role requirements and pick the most relevant questions from our library of 10000+ questions to create a technical assessment that helps you find the qualified candidates in your candidate pipeline quickly. All custom assessments are set up based on the job description, role requirements, must-have skills, experience level and salary range within a maximum of 48 hours and you will get an email notification once it goes live.

Check out a sample assessment here (no credit card required).

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify.

How is Adaface different from other assessment tools?

We believe that status quo tech assessment platforms are not a fair way for companies to evaluate engineers because they focus on trick questions/ puzzles/ niche algorithms. We started Adaface to help companies find great engineers by assessing on-the-job skills required for a role. Read more about why we started Adaface.

Here's what's different with Adaface:

  • High quality non-googleable questions that test for on-the-job skills as opposed to theoretical knowledge.
  • A friendly conversational assessment with a chatbot, instead of sending a "test" to a candidate. This translates to a higher completion rate. Adaface assessments (86% candidate completion rate), as opposed to traditional tests (40-50% candidate completion rate)
  • Customized assessments for 700+ skills at different experience levels.
Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Web proctoring
  • Webcam proctoring
  • Plagairism detection
  • Non-googleable questions
  • Secure browser

Read more the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

The platform is completely self-serve, so here's one way to proceed:

  • You can sign up for free to get a feel for how it works.
  • The free trial includes one sample assessment (Java/ JavaScript) that you will find in your dashboard when you sign up. You can use it to review the quality of questions, and the candidate experience of a conversational test on Adaface.
  • To review the quality of questions, you can also review our public questions for 50+ skills here.
  • Once you're convinced that you want to try it out with real assessments and candidates, you can pick a plan according to your requirements.
I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!


Brandon Lee, Head of People, Love, Bonito

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