Category: Q&A

Data Scientist Interview Questions – Explain what precision and recall are.   After the predictive model has been finished, the most important question is: How good is it? Does it predict well? Evaluating the model is one of the most important tasks in the data science project, ¬†it indicates¬†how good predictions are. Very often for classification problems we look at metrics called precision and recall,…

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Regularization – definition and python example. In Machine Learning, very often the task is to fit a model to a set of training data and use the fitted model to make predictions or classify new (out of sample) data points. Sometimes model fits the training data very well but does not well in predicting out of sample data points. A model may be too complex…

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Central Limit Theorem (CLT) is a statistical theory that states that given a sufficiently large sample size from a population with a finite level of variance, the mean of all samples from the same population will be approximately equal to the mean of the population. Furthermore, all of the samples will follow an approximately normal distribution pattern, with all variances being approximately equal to the…

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