Probability question on the odds of two players being eliminated in the same round playing a unfair coin toss game in casino with different probabilities of winning for each.
Applied Scientist Interview Questions
1,167 applied scientist interview questions shared by candidates
Implement a class that implements K means
Questions about AB Testing and churn predictions.
🔹 1. Conceptual Questions (Beginner–Intermediate) ❓ Supervised vs. Unsupervised learning What is the difference between supervised and unsupervised learning? Give examples of real-world problems for each. ❓ Model Understanding What is overfitting and underfitting? How do you prevent overfitting? What is the bias-variance trade-off? What are precision, recall, F1-score, and when do you prefer one over another? ❓ Algorithms How does a decision tree work? What is the difference between logistic regression and linear regression? How does K-nearest neighbors (KNN) work? What is regularization (L1 vs. L2)? 🔹 2. Intermediate to Advanced Topics ❓ Ensemble Methods How does random forest work? What is gradient boosting (e.g., XGBoost, LightGBM)? Difference between bagging and boosting? ❓ Neural Networks What is backpropagation? What are activation functions and why are they important? Difference between CNNs and RNNs. What is dropout, and why is it used? ❓ Optimization What are common optimizers in deep learning? How does stochastic gradient descent (SGD) differ from batch gradient descent?
Machine Learning case study interview. Open ended question with no right answer - they want to evaluate your ability to walk through a solution
Why do you want to join Microsoft?
explain deep-learning to a five year child what is your favourite microsoft product and why
How will you build a credit card fraud model
- Longest substring in a string - What is knowledge distillation ? - Large language models - Multi-task models
AI Coding Interview: Code K-means clustering One interview on ML/NLP Depth One interview on Research/Projects One interview on Behavioral Skills (with HM)
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