Difference between logistic regression and linear regression and the examples
Ml Engineer Interview Questions
2,738 ml engineer interview questions shared by candidates
What is confusion matrix, and what is true pos and false pos means
Phone screen which asked a lot of high level questions about ML and deep learning
Introduction, describe one project and achievement in your life.
define working of PCA and when do we use it?
Q: Can you walk me through your education and how it has prepared you for your current role? Q: How has your work experience contributed to your skills in AI and machine learning? Q: Can you describe one of your most impactful projects and the challenges you faced? Q: In your project, how do you deal with data issues such as missing or noisy data? Q: What metrics do you typically use to evaluate the performance of your models? Q: How do you validate that a newly trained model is an improvement over the previous one? Q: How do you approach monitoring and maintaining models in production? Q: How do you ensure that project results are effectively communicated to stakeholders? Q: What is your preferred working style, and how do you adapt to different team environments? Q: What excites you most about joining our company and working on AI projects here?
Describe in detail a recent ML project that you worked on.
How would you rate your Python knowledge?
Why are features important
They asked questions related to machine learning and projects in my resume. I recommend getting to know more about the company before the interview.
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