Here are a few sample Machine Learning interview questions for your practice:
- What are the different types of machine learning?
- What is overfitting, and how to avoid it?
- What are the “training Set” and “test Set” in a Machine Learning Model? How much data will you allocate for your training, validation, and test sets?
- Explain the confusion matrix with respect to machine learning algorithms.
- Write a pseudo code for a parallel implementation.
- What data visualization tools do you use?
- What are the three stages of building a model in machine learning?
- Given two strings, A and B, of the same length n, find whether it is possible to cut both strings at a common point such that the first part of A and the second part of B form a palindrome.
- How do XML and CSVs compare in terms of size?
- What is the difference between inductive machine learning and deductive machine learning?
- How would you build a data pipeline?
- How is KNN different from k-means clustering?
- What is PCA? When do you use it?
- Will you explain your favorite algorithm in less than a minute?
- What are type I and II errors?
- What is a Fourier transform?
- What is the difference between probability and likelihood?
- What is an F1 score? How will you use it?
- Explain the SVM algorithm in detail.
- Which one is more important – model performance or model accuracy?
- How is a decision tree pruned?
- What is the difference between generative and discriminative models?
- How will you handle an imbalanced dataset?
- How do you ensure you’re not overfitting with a model?
- What is a kernel trick? How is it useful?
- What do you think of the current data process?
- How can you use machine learning skills to generate revenue?
- How would you implement a recommendation system for our company’s users?
- What do you think is the most valuable data in our business?
- How will you approach the Netflix Prize competition?
- How do you think Google is training data for self-driving cars?
- How would you simulate the approach AlphaGo took to beat Lee Sedol at Go?
- What are your thoughts on GPT-3 and OpenAI’s model?
- How do you design an email spam filter?
- What models do you train for fun, and what GPU/hardware do you use?