User JJJohn

8 votes

3 answers

2k views

Why does logistic function use e rather than 2?

asked Jun 6, 2019 at 7:55

6 votes

1 answer

297 views

What does big O mean in KNN optimal weights?

asked Aug 13, 2019 at 3:43

5 votes

1 answer

6k views

Could anyone explain these terms, "input space", "feature space", "sample space", "hypothesis space", "parameter space" with a concrete example?

asked Sep 23, 2019 at 3:31

5 votes

3 answers

8k views

What is the relationship between "square loss" and "Mean squared error"?

asked Jun 4, 2019 at 3:49

4 votes

1 answer

2k views

Why does putting a 1/2 in front of the squared error make the math easier?

asked Jun 4, 2019 at 8:24

3 votes

1 answer

6k views

Is there a way to put a separate line between clusters for k-Means Clustering?

asked Jun 17, 2019 at 4:08

3 votes

1 answer

1k views

tensorflow: is there a way to specify XLA_GPU with tensorflow?

asked Mar 16, 2019 at 12:32

2 votes

4 answers

7k views

is it possible to output more than 2 nodes away from a node in a decision tree? if yes, how to do that with sklearn?

asked May 15, 2019 at 3:05

2 votes

2 answers

2k views

Is there a real life meaning about KMeans error?

asked Jul 6, 2019 at 14:02

2 votes

1 answer

5k views

tensorflow: is there a way to specify XLA_GPU with tensorflow?

asked Mar 16, 2019 at 8:38

2 votes

1 answer

1k views

does KNN have a hypothesis space? if yes, Is there a way to clearly define the hypothesis space with the instances?

asked Jul 11, 2019 at 15:37

2 votes

1 answer

667 views

What is "spatial feature encoding"? Can anyone give a concrete example?

asked Jul 16, 2019 at 9:20

1 vote

2 answers

125 views

It seem that the textbook "Machine Learning - A Probabilistic Perspective" uses input and output in a opposite way, is it?

asked Sep 29, 2019 at 2:24

1 vote

1 answer

70 views

How many normalization methods are there and what are they for?

asked Jul 2, 2019 at 10:50

1 vote

1 answer

2k views

Why does the logistic regression cost function need to be the negative of log?

asked Jun 5, 2019 at 5:32

1 vote

2 answers

1k views

What exactly is A dataset? is a database contain more than 2 tables counted as 1 or 2 datasets?

asked May 20, 2019 at 4:11

1 vote

1 answer

724 views

When and where dummy.data.frame would be used?

asked May 12, 2019 at 11:01

1 vote

1 answer

163 views

What does localist one-hot vector mean in cs224n NLP course?

asked Apr 10, 2019 at 10:33

0 votes

1 answer

21 views

what does "blocks" mean in the context of HDFS ecosystem? is it the same concept in the context of a single hard disk drive?

asked May 2, 2019 at 21:45

0 votes

2 answers

7k views

Pros and cons of using the zscore of a dataset before normalizing it during feature engineering?

asked Apr 4, 2019 at 2:38

0 votes

1 answer

27 views

What do each of the three SVM classes in R represent?

asked May 12, 2019 at 11:55

0 votes

1 answer

45 views

In the context of image binary classification, is it necessary to divide dataset into true positive, false positive, true negative, false negative?

asked Jun 5, 2019 at 7:40

0 votes

1 answer

7k views

What are true positive, false positive, true negative, false negative in the given example?

asked Jun 6, 2019 at 3:06

0 votes

2 answers

82 views

In the context of machine learning, what is the relationship between "Normalization" and "norm"

asked Jul 9, 2019 at 3:20

0 votes

0 answers

44 views

Is random forest a kind of spatial feature encoding?

asked Jul 15, 2019 at 10:18

0 votes

1 answer

80 views

what does `a factor of K-fold` mean in GPU-based training?

asked Jul 16, 2019 at 6:47

-1 votes

1 answer

400 views

What is a color blob? Is it possible to use clustering algorithm to color blob detection problem?

asked Aug 9, 2019 at 0:02

Stack Exchange Network

27 Questions

Why does logistic function use e rather than 2?

What does big O mean in KNN optimal weights?

Could anyone explain these terms, "input space", "feature space", "sample space", "hypothesis space", "parameter space" with a concrete example?

What is the relationship between "square loss" and "Mean squared error"?

Why does putting a 1/2 in front of the squared error make the math easier?

Is there a way to put a separate line between clusters for k-Means Clustering?

tensorflow: is there a way to specify XLA_GPU with tensorflow?

is it possible to output more than 2 nodes away from a node in a decision tree? if yes, how to do that with sklearn?

Is there a real life meaning about KMeans error?

tensorflow: is there a way to specify XLA_GPU with tensorflow?

does KNN have a hypothesis space? if yes, Is there a way to clearly define the hypothesis space with the instances?

What is "spatial feature encoding"? Can anyone give a concrete example?

It seem that the textbook "Machine Learning - A Probabilistic Perspective" uses input and output in a opposite way, is it?

How many normalization methods are there and what are they for?

Why does the logistic regression cost function need to be the negative of log?

What exactly is A dataset? is a database contain more than 2 tables counted as 1 or 2 datasets?

When and where dummy.data.frame would be used?

What does localist one-hot vector mean in cs224n NLP course?

what does "blocks" mean in the context of HDFS ecosystem? is it the same concept in the context of a single hard disk drive?

Pros and cons of using the zscore of a dataset before normalizing it during feature engineering?

What do each of the three SVM classes in R represent?

In the context of image binary classification, is it necessary to divide dataset into true positive, false positive, true negative, false negative?

What are true positive, false positive, true negative, false negative in the given example?

In the context of machine learning, what is the relationship between "Normalization" and "norm"

Is random forest a kind of spatial feature encoding?

what does `a factor of K-fold` mean in GPU-based training?

What is a color blob? Is it possible to use clustering algorithm to color blob detection problem?