29 Common AI & Machine Learning Interview Questions
Here are the most common AI & Machine Learning interview questions:
- What is your experience with machine learning?
- How would you use machine learning in your current role? Or, how have you used it in previous roles?
- What was your favourite type of project to work on? Why?
- What do you think about the future of AI? Do you think it will change our lives for the better or worse?
- Do you have any projects that are currently in production that we can check out?
- What is machine learning?
- How does machine learning work?
- What are the main types of machine learning?
- How can you use machine learning to improve your business?
- What are some applications of AI and ML in your field?
- What is the difference between AI and machine learning?
- What are some examples of AI in your daily life?
- What is a neural network, and how does it work?
- How do you train a neural network?
- What does deep learning mean?
- How do convolutional neural networks work?
- What are some applications of convolutional neural networks?
- What is the difference between supervised and unsupervised learning?
- What are your strengths and weaknesses?
- Why do you want to work here?
- What's your biggest accomplishment?
- Explain the Turing test and what it means for AI.
- Explain the concept of general intelligence, as well as how it applies to machine learning.
- What are some examples of narrow AI? Of broad AI? Of superintelligence?
- How does human-level general intelligence differ from human-level narrow intelligence?
- What are some of the challenges associated with AI and ML?
- What kind of data do you need to train an AI model for your problem?
- How do you approach AI product design?
- What's the biggest mistake you've made when working with AI? What did you learn from it?