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I am very comfortable with commuting to Noida.
I have been commuting to Noida for the past 5 years and am familiar with the routes.
I am open to using public transportation or driving my own vehicle for the commute.
I have researched the commute times and am prepared for any potential delays.
Bias-variance tradeoff is a key concept in machine learning where a model's ability to generalize is balanced with its complexity.
Bias refers to the error introduced by approximating a real-world problem, while variance refers to the model's sensitivity to fluctuations in the training data.
High bias can lead to underfitting, where the model is too simple to capture the underlying patterns in the data.
High variance can ...
Bias is error due to overly simplistic assumptions in the learning algorithm, while variance is error due to too much complexity.
Bias is the error introduced by approximating a real-world problem, which can lead to underfitting.
Variance is the error introduced by modeling the noise in the training data, which can lead to overfitting.
High bias and low variance can result in underfitting, while low bias and high variance...
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