Top 100+ questions and answers in Machine Learning

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Q: What is kernel SVM?

answered Feb 4 in Machine Learning by SakshiSharma

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Q: What are the difference between supervised and unsupervised machine learning?

answered Feb 3 in Machine Learning by SakshiSharma

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Q: How do you handle the missing or corrupted data in a dataset?

answered Feb 3 in Machine Learning by SakshiSharma

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Q: Drill assigns each _________ fragment with a MajorFragmentID

answered Dec 6, 2020 in Machine Learning by SakshiSharma

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Q: What are Microservices?

answered Jul 15, 2020 in Machine Learning by AdilsonLima

+2 votes

Q: There is no exact formula for calculating the number of hidden layers, as well as the number of neurons in each hidden layer.

answered Jun 19, 2020 in Machine Learning by JackTerrance

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Q: learning blends rules created by humans with data to develop answers to a problem.

answered Jun 19, 2020 in Machine Learning by JackTerrance

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Q: Which machine learning technique would you suggest to develop a machine which detects

asked Jun 19, 2020 in Machine Learning by Robindeniel

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Q: The MFDM executive model life cycle has phases.

asked May 15, 2020 in Machine Learning by anonymous

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Q: What is meant by object point and background point in image Processing?

asked May 7, 2020 in Machine Learning by SakshiSharma

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Q: Machine Learning is a subset of __________.

asked May 2, 2020 in Machine Learning by James

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Q: What are the types of Machine Learning?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: Differentiate between classification and regression in Machine Learning.

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: What is Linear Regression in Machine learning?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: How will you determine the Machine Learning algorithm that is suitable for your problem?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: What are Bias and Variance?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: What is Variance Inflation Factor?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: What is a Confusion Matrix?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: What do you understand by Type I and Type II errors in machine learning?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: When should you use classification over regression?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: Explain Logistic Regression.

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: Imagine, you are given a dataset consisting of variables having more than 30% missing values.

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: Explain Principal Component Analysis (PCA).

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: Why rotation is required in PCA? What will happen if you don’t rotate the components?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: We know that one hot encoding increases the dimensionality of a dataset, but label encoding doesn’t. How?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: How can you avoid overfitting?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: Why do we need a validation set and a test set?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: What is a Decision Tree?

answered Jan 18, 2020 in Machine Learning by Robindeniel

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Q: Explain the difference between KNN and K-means Clustering.

answered Jan 18, 2020 in Machine Learning by Robindeniel

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