Machine Learning Interview Questions | Machine Learning Interview Questions and answers

Machine Learning Interview Questions list for experienced

Questions on machine learning
What are the different types of machine learning?
What are the best programming languages for Machine Learning?
What is machine learning used for?
What are the examples of ML?
Differentiate between Regression and classification.
What do you understand by selection bias?
What do you understand by Precision and Recall?
Explain false negative, false positive, true negative and true positive with a simple example.

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What is Machine Learning ?

Answer : Machine learning revolves around developing self learning computer algorithms that function by virtue of discovering patterns in data and making intelligent decisions based on such patterns

Questions : 1 :: Questions on machine learning

How does Deep Learning differ from Machine Learning? Explain false negative, false positive, true negative and true positive with a simple example. How is KNN different from K-means...View answers

Questions : 2 :: What are the different types of machine learning?

Different types of ML: Supervised Learning Unsupervised Learning Reinforcement...View answers

Questions : 3 :: What are the best programming languages for Machine Learning?

These are some good languages which are used in...View answers

Questions : 4 :: What is machine learning used for?

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify...View answers

Questions : 5 :: What are the examples of ML?

Machine learning has been used in multiple fields and industries. For example, medical diagnosis image processing prediction classification learning association...View answers

Questions : 6 :: Differentiate between Regression and classification.

CLASSIFICATION: Task of predicting discrete class label. example of classification is classifying an email as spam or non spam. REGRESSION: Task of predicting continous...View answers

Questions : 7 :: What do you understand by selection bias?

It is a measurable blunder that causes a predisposition in the examining segment of a test. The mistake causes one inspecting gathering to be chosen more regularly than different gatherings...View answers

Questions : 8 :: What do you understand by Precision and Recall?

Let me clarify you this with a similarity: Envision that, your sweetheart gave you a birthday shock each year throughout the previous 10 years. At some point, your sweetheart asks you: 'Darling, do...View answers

Questions : 9 :: Explain false negative, false positive, true negative and true positive with a simple example.

How about we think about a situation of a fire crisis: Genuine Positive: If the alert goes on in the event of a fire. Fire is sure and forecast made by the framework is valid. Bogus Positive: If...View answers

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Machine Learning Interview Questions And Answers