How to explain the difference between parameter and hyperparameter in machine learning?
62324
What to treat as (hyper-)parameter and why
108282
How to choose between learning algorithms
31998
What's the difference between an argument and a parameter?
99837
How to work with parameters?
79576
What exactly is an arbitrary parameter?
4134
Maximum Likelihood Estimate with different parameters
22668
Linear vs. nonlinear regression
48226
How to adjust the hyperparameters of MLP classifier to get more perfect performance
29149
Grid search vs. random search for hyperparameter tuning
38201
How does a uniform prior lead to the same estimates from maximum likelihood and mode of posterior?
15196
Why scaling is important for the linear SVM classification?
56347
What is the difference between estimation and prediction?
76877
What is the influence of C in SVMs with linear kernel?
108952
What is the difference in Bayesian estimate and maximum likelihood estimate?
82148
Why is ridge regression called "ridge", why is it needed, and what happens when $\lambda$ goes to infinity?
114612
Why is "consistent nearest neighbour" Non-parametric?
18347
Why there are two different logistic loss formulation / notations?