AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

Questions Answers Views Company eMail

What is the difference between data mining and machine learning?

Describe the classifier in machine learning.

What is the method to avoid overfitting?

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What is a model selection in machine learning?

How is machine learning used in day-to-day life?

What do you understand by reinforcement learning technique?

What are the functions of supervised learning?

Why instance-based learning algorithm sometimes referred to as lazy learning algorithm?

What are the different types of algorithm methods in machine learning?

What are the three stages of building the hypotheses or model in machine learning?

How does machine learning differ from deep learning?

What is svm in machine learning? What are the classification methods that svm can handle?

What do you know about bayesian networks?

What according to you, is the standard approach to supervised learning?

What do you mean by ensemble learning?

Un-Answered Questions { AI Machine Learning }

Tell us which one would you prefer to choose – model accuracy or model performance?

Explain me what's the trade-off between bias and variance?

How do I become an expert in machine learning?

Why instance based learning algorithm sometimes referred as Lazy learning?

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What is the difference between supervised and unsupervised learning?

Who is associated with the theory of symbolic learning?

Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?

What is Machine learning?

What are the 3 types of ai?

Name the three types of algorithms?

What is sequential data in machine learning?

What are the similarities and differences between bagging and boosting in machine learning?

Comparision between Machine Learning and Big Data?

What is bias-variance decomposition of classification error in ensemble method?

What is the trade-off between bias and variance?

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