âAs a Data Scientist â should I be a specialist or generalist? After all, data science is an ocean!â As someone who was in his first semester pursuing his Masterâs in Analytics degree, this is the question I had in my mind after the professorsâ introduced a plethora of new terminologies to me in every…
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Bias is error due to erroneous or overly simplistic assumptions in the learning algorithm youâre using. This can lead to the model underfitting your data, making it hard for it to have high predictive accuracy and for you to generalize your knowledge from the training set to the test set. Variance is error due to too much…
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Meaning of Bias and Variance? Bias: how unfair is something towards other Variance: how likely something changes with respect to others Thing to remember? High Bias: under fitting High Variance: over fitting What is High Bias and High Variance? Assume there are two examiners determining weather forecast. Where it rains only when it is humid…
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