Machine Learning, Artificial Intelligence, Neural Networks, Data Science, Towards Data Science.
estimator is a random variable. Every random variable is susceptible to bias and variance. Bias: expected deviation from the true value. Variance: deviation from the expected estimator. Diagnosing bias-variance So how can we analyze this bias-variance trade-off in neural networks? In high