This article will take you through the top 10 frequently asked machine learning interview questions.
Companies are using new-age technologies like artificial intelligence (AI) and machine learning (ML) to make information and services more accessible to users. These technologies are being increasingly adopted in industries such as banking, finance, retail, manufacturing, healthcare, and more. Some of the in-demand organizational jobs that are adopting AI include data scientists, artificial intelligence engineers, Machine learning Engineers, and data analysts. If you want to apply for jobs like these, you should be aware of the sorts of machine learning interview questions that recruiters and hiring managers could ask. This article guides you through some of the most common machine learning interview questions and answers you’ll come across on your journey to landing your ideal job.
1.
Explain what artificial intelligence (AI), machine learning (ML), and deep learning are and what they mean.
What are the different types of machine learning?
Make a distinction between data mining and machine learning.
What is the difference between deep learning and machine learning?
What is overfitting in machine learning? Why does it occur and how can you stay away from this?
In machine learning, what is a hypothesis?
In machine learning, what is Bayes’ theorem?
What is cross-validation in machine learning?
What is entropy in machine learning?
What is the epoch in machine learning?
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