Recent questions and answers in Machine Learning

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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 in Machine Learning by JackTerrance

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

answered Jun 19 in Machine Learning by JackTerrance

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

asked Jun 19 in Machine Learning by Robindeniel

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

asked May 7 in Machine Learning by SakshiSharma

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What are the types of Machine Learning?

answered Jan 18 in Machine Learning by Robindeniel

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Differentiate between classification and regression in Machine Learning.

answered Jan 18 in Machine Learning by Robindeniel

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What is Linear Regression in Machine learning?

answered Jan 18 in Machine Learning by Robindeniel

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

answered Jan 18 in Machine Learning by Robindeniel

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What are Bias and Variance?

answered Jan 18 in Machine Learning by Robindeniel

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What is Variance Inflation Factor?

answered Jan 18 in Machine Learning by Robindeniel

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

answered Jan 18 in Machine Learning by Robindeniel

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What is a Confusion Matrix?

answered Jan 18 in Machine Learning by Robindeniel

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

answered Jan 18 in Machine Learning by Robindeniel

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When should you use classification over regression?

answered Jan 18 in Machine Learning by Robindeniel

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Explain Logistic Regression.

answered Jan 18 in Machine Learning by Robindeniel

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

answered Jan 18 in Machine Learning by Robindeniel

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

answered Jan 18 in Machine Learning by Robindeniel

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Explain Principal Component Analysis (PCA).

answered Jan 18 in Machine Learning by Robindeniel

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

answered Jan 18 in Machine Learning by Robindeniel

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

answered Jan 18 in Machine Learning by Robindeniel

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How can you avoid overfitting?

answered Jan 18 in Machine Learning by Robindeniel

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

answered Jan 18 in Machine Learning by Robindeniel

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What is a Decision Tree?

answered Jan 18 in Machine Learning by Robindeniel

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Explain the difference between KNN and K-means Clustering.

answered Jan 18 in Machine Learning by Robindeniel

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What is Dimensionality Reduction?

answered Jan 18 in Machine Learning by Robindeniel

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Both being tree-based algorithms, how is Random Forest different from Gradient Boosting Algorithm (GBM)?

answered Jan 18 in Machine Learning by Robindeniel

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Suppose, you found that your model is suffering from high variance. Which algorithm do you think could handle this situation and why?

answered Jan 18 in Machine Learning by Robindeniel

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What is ROC curve and what does it represent?

answered Jan 18 in Machine Learning by Robindeniel

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What is Rescaling of data and how is it done?

answered Jan 18 in Machine Learning by Robindeniel

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What is Binarizing of data? How to Binarize?

answered Jan 18 in Machine Learning by Robindeniel

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