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mlai
  • Member for 9 years, 3 months
  • Last seen more than 2 years ago
1259 votes
27 answers
839k views

Making sense of principal component analysis, eigenvectors & eigenvalues

  • 12.9k
530 votes
23 answers
286k views

Why square the difference instead of taking the absolute value in standard deviation?

  • 5,545
416 votes
14 answers
269k views

Bayesian and frequentist reasoning in plain English

269 votes
10 answers
154k views

How would you explain covariance to someone who understands only the mean?

  • 13.7k
204 votes
4 answers
193k views

What does the hidden layer in a neural network compute?

  • 2,177
149 votes
3 answers
220k views

Help me understand Bayesian prior and posterior distributions

  • 1,491
138 votes
3 answers
272k views

What is the difference between linear regression and logistic regression?

  • 2,903
130 votes
5 answers
75k views

How does a Support Vector Machine (SVM) work?

  • 7,389
99 votes
30 answers
53k views

Is there a way to remember the definitions of Type I and Type II Errors?

  • 1,091
83 votes
14 answers
18k views

When (if ever) is a frequentist approach substantively better than a Bayesian?

  • 5,166
82 votes
1 answer
8k views

Help me understand Support Vector Machines

  • 1,187
80 votes
2 answers
24k views

What is a "kernel" in plain English?

77 votes
6 answers
134k views

What are i.i.d. random variables?

  • 6,761
60 votes
13 answers
50k views

Does 10 heads in a row increase the chance of the next toss being a tail?

  • 601
54 votes
3 answers
14k views

Understanding Naive Bayes

  • 1,001
50 votes
5 answers
41k views

How does rectilinear activation function solve the vanishing gradient problem in neural networks?

38 votes
5 answers
9k views

How to visualize/understand what a neural network is doing?

  • 758
37 votes
8 answers
15k views

What is Bayes' theorem all about?

  • 6,761
33 votes
3 answers
13k views

In boosting, why are the learners "weak"?

  • 7,389
28 votes
2 answers
7k views

Support vector machines and regression

  • 22.4k
27 votes
3 answers
14k views

Why break down the denominator in Bayes' Theorem?

25 votes
11 answers
23k views

Why is logistic regression called a machine learning algorithm?

  • 2,376
24 votes
2 answers
8k views

Structural Equation Models (SEMs) versus Bayesian Networks (BNs)

  • 2,070
23 votes
2 answers
3k views

On the "strength" of weak learners

23 votes
2 answers
9k views

How does boosting work?

  • 1,332
22 votes
3 answers
22k views

Normalizing constant in Bayes theorem

  • 374
20 votes
2 answers
5k views

How to apply Bayes' theorem to the search for a fisherman lost at sea

  • 493
18 votes
2 answers
5k views

Deep learning vs. Decision trees and boosting methods

15 votes
1 answer
5k views

How does gentle boosting differ from AdaBoost?

13 votes
5 answers
6k views

Appropriate clustering techniques for temporal data?

  • 2,483