Fabian Werner's user avatar
Fabian Werner's user avatar
Fabian Werner's user avatar
Fabian Werner
  • Member for 8 years, 7 months
  • Last seen more than a month ago
23 votes

What is the purpose of using a decision tree?

19 votes
Accepted

Is it correct to say the Neural Networks are an alternative way of performing Maximum Likelihood Estimation? if not, why?

16 votes

Hyper parameters tuning: Random search vs Bayesian optimization

15 votes
Accepted

Understanding the Logistic Regression and likelihood

15 votes

Deriving Bellman's Equation in Reinforcement Learning

12 votes
Accepted

Why does reducing the learning rate quickly reduce the error

9 votes
Accepted

Gradient of the expectation of a function w.r.t. distribution parameters

9 votes

Defining Conditional Likelihood

7 votes
Accepted

Errors and residuals in linear regression

6 votes
Accepted

Is either $P(A)=\sum_{x \in A} p(1-p)^x$ or $P(A)=1$ if $A$ has a finite number of elements a probability on (S, B)?

4 votes

Why is the convergence rate important?

3 votes
Accepted

In reinforcement learning, what is the correct definition of "value function"?

3 votes
Accepted

Can I replace the distribution in Gaussian Process Regression with a different regression?

3 votes
Accepted

Looking for a proper reinforcement learning solution

3 votes
Accepted

Correct feature aggregation for this tricky buying problem

3 votes
Accepted

What are the main inequalities used in statistical proofs?

3 votes
Accepted

multi armed Bandit Problem

3 votes
Accepted

Does the sum of updated mixture weights in EM algorithm equal 1 in M step, why?

3 votes

Markov Chains vs. Bayesian Network

2 votes

Partial Derivative of Standard Trivariate Normal CDF

2 votes
Accepted

Likelihood in Linear Regression

2 votes
Accepted

Unclear part of EM algorithm steps

2 votes
Accepted

Why SVR kernels other than 'linear' don't work for this toy dataset!

2 votes

EM Algorithm - E step

2 votes

Expectation Maximization clarification questions

2 votes

What is the need of assumptions in linear regression?

2 votes

How does a bayesian interpret a null association?

2 votes

Significance of eigenvector components in PCA

2 votes
Accepted

Why do we assume Gaussian margins in Gaussian mixture models

2 votes

xgboost tayler expansion detail