Microsoft Machine Learning Interview Questions
Master your tech interview with our curated database of real questions from top companies.
Compare CNN/RNN/LSTM and implement K-means
Deep Learning Concepts and K-means Implementation (Onsite ML Interview) Part A: CNNs vs RNNs and LSTMs Contrast CNNs and RNNs for the following modali...
Implement robust k-means from scratch
Implement K-Means Clustering From Scratch (Production-Ready) Context You are asked to implement K-Means clustering from scratch for a machine learning...
Compare CNN, RNN, and LSTM rigorously
Sequence Modeling: Rigorous Comparison of CNNs, RNNs, and LSTMs Context and assumptions: - We are modeling 1D sequences of shape (batch=32, time=100, ...
Design a model for imbalanced conversions
Predicting Purchase Propensity After a Campaign (5% Positives) You previously ran a marketing campaign to 10,000 customers and observed 500 purchases ...
Cluster city name variants into canonical entities
Normalize City Names for Vote Aggregation Context You have voting records containing a free-text city field. The same city may appear in many forms (e...
Discuss large language models
LLMs: Advances, Product Integration, Production Challenges, and Risk Mitigation Context You are interviewing for a Software Engineer role focused on m...
Explain Deep Learning to a 5-Year-Old Child
Microsoft Phone-Screen: Machine Learning Fundamentals You are interviewing for a machine learning/data science role and should provide concise, struct...