User Brian Spiering

24 votes

Accepted

One Hot Encoding vs Word Embedding - When to choose one or another?

answered Apr 3, 2018 at 14:47

22 votes

Accepted

What are graph embedding?

answered Oct 26, 2017 at 2:32

12 votes

Accepted

Using TF-IDF with other features in scikit-learn

answered Sep 4, 2017 at 14:58

12 votes

What is Hellinger Distance and when to use it?

answered Nov 24, 2017 at 23:28

10 votes

Sentence similarity prediction

answered May 10, 2018 at 19:44

9 votes

Clustering geo location coordinates (lat,long pairs)

answered Dec 5, 2017 at 20:47

8 votes

Accepted

SVM on sparse data

answered Aug 10, 2017 at 16:24

8 votes

Accepted

Text similarity with sentence embeddings

answered Sep 23, 2019 at 16:01

7 votes

Accepted

imblearn error installing smote

answered Dec 15, 2018 at 15:58

7 votes

Can machine learning learn a function like finding maximum from a list?

answered Jul 31, 2019 at 14:50

7 votes

Accepted

What is the BLEU score used in Google Brain's "Attention Is All You Need" paper?

answered Dec 21, 2017 at 4:57

7 votes

Continuous variable to categorical by quartiles?

answered Mar 15, 2018 at 1:07

7 votes

Splitting a sentence to meaningful parts

answered Apr 4, 2018 at 19:06

7 votes

Dynamic clustering in NLP dataset

answered Dec 12, 2022 at 14:35

6 votes

Is Pearson correlation a good loss function?

answered Sep 16, 2022 at 19:16

6 votes

How to create interactive plot of thousands of images as output of t-SNE?

answered Mar 25, 2018 at 4:30

6 votes

Accepted

How to do spelling correction for a language but also correct some words in other language

answered May 6, 2018 at 17:37

6 votes

Accepted

Tips to improve Linear Regression model

answered Apr 18, 2018 at 17:20

6 votes

Are there any good out-of-the-box language models for python?

answered Sep 27, 2018 at 22:39

6 votes

What is the rationale for discretization of continuous features and when should it be done?

answered Oct 17, 2017 at 3:51

6 votes

Accepted

How to find out if two datasets are close to each other?

answered Jun 21, 2019 at 21:55

6 votes

Why does Keras need TensorFlow as backend?

answered Jan 2, 2020 at 15:41

6 votes

Accepted

Very Fast Training After First Epoch

answered Mar 31, 2020 at 17:37

5 votes

Accepted

can I use t-sne or PCA to reduce number of classes?

answered Mar 12, 2020 at 20:58

5 votes

Determine statistically whether new product cannibalise old product by using data

answered Mar 17, 2020 at 12:48

5 votes

Word2Vec how to choose the embedding size parameter

answered May 7, 2019 at 18:23

5 votes

Business exception reporting

answered Jan 3, 2015 at 1:07

5 votes

Are dimensionality reduction techniques useful in deep learning

answered Jul 30, 2018 at 16:55

5 votes

When using KNeighborsClassifier, what is the motivation of using weights="distance"?

answered Jul 3, 2021 at 15:16

5 votes

What is the difference between TextVectorization and Tokenizer?

answered Dec 7, 2021 at 19:31

Stack Exchange Network

1,452 Answers

One Hot Encoding vs Word Embedding - When to choose one or another?

What are graph embedding?

Using TF-IDF with other features in scikit-learn

What is Hellinger Distance and when to use it?

Sentence similarity prediction

Clustering geo location coordinates (lat,long pairs)

SVM on sparse data

Text similarity with sentence embeddings

imblearn error installing smote

Can machine learning learn a function like finding maximum from a list?

What is the BLEU score used in Google Brain's "Attention Is All You Need" paper?

Continuous variable to categorical by quartiles?

Splitting a sentence to meaningful parts

Dynamic clustering in NLP dataset

Is Pearson correlation a good loss function?

How to create interactive plot of thousands of images as output of t-SNE?

How to do spelling correction for a language but also correct some words in other language

Tips to improve Linear Regression model

Are there any good out-of-the-box language models for python?

What is the rationale for discretization of continuous features and when should it be done?

How to find out if two datasets are close to each other?

Why does Keras need TensorFlow as backend?

Very Fast Training After First Epoch

can I use t-sne or PCA to reduce number of classes?

Determine statistically whether new product cannibalise old product by using data

Word2Vec how to choose the embedding size parameter

Business exception reporting

Are dimensionality reduction techniques useful in deep learning

When using KNeighborsClassifier, what is the motivation of using weights="distance"?

What is the difference between TextVectorization and Tokenizer?