User RonsenbergVI

4 votes

Why use deep neural networks over methods like linear regression or SVM?

answered Sep 3, 2019 at 22:08

4 votes

Accepted

Understanding the "Wide" part of Google's wide and deep

answered Sep 9, 2019 at 18:30

3 votes

How to create custom Activation functions in Keras / TensorFlow?

answered Sep 9, 2019 at 21:41

3 votes

Accepted

How to compute f1 in TensorFlow

answered Sep 3, 2019 at 22:18

3 votes

Recommendation system depend on user rating and favorite list

answered Sep 3, 2019 at 17:37

3 votes

Export pandas dataframe to a nested dictionary from multiple columns

answered Feb 5, 2020 at 12:22

3 votes

LSTM claim found in paper

answered Sep 3, 2020 at 17:24

3 votes

Alternatives with better GPU than Google Colab Pro

answered May 6, 2021 at 13:58

2 votes

Should I use MongoDB instead of storing data in CSV in python?

answered Dec 30, 2019 at 11:27

2 votes

Accepted

How to include user features in a recommender system?

answered Sep 24, 2020 at 20:30

2 votes

feature importance after classification

answered Sep 16, 2020 at 14:00

2 votes

How to apply multiple clustering algorithms to same dataset and make comparison?

answered Sep 16, 2020 at 14:04

2 votes

Normalize data with extreme outliers for forecasting

answered Aug 22, 2020 at 11:30

2 votes

Gradient Descent in ReLU Neural Network

answered Sep 3, 2019 at 17:53

2 votes

Accepted

Efficient environment for machine or deep learning in Python

answered Sep 4, 2019 at 14:08

1 vote

How to use Autoencoders for outlier detection on images

answered Sep 7, 2019 at 10:12

1 vote

Time series modelling

answered Sep 11, 2019 at 19:56

1 vote

What is difference between Multi-class One vs All and Multilabel Classification?

answered Sep 3, 2019 at 17:49

1 vote

Can a recommendation system be built without any user ratings?

answered Sep 3, 2019 at 16:25

1 vote

What is the branch of data science that deals with generating data? Looking for tutorials

answered Sep 3, 2019 at 17:11

1 vote

I have this data set for crimes of a 12 month time period, over 250k rows. I want to predict future crimes by date and location

answered Sep 4, 2019 at 13:44

1 vote

How would one get the HTML structure of a web page as a numeric vector?

answered Sep 4, 2019 at 13:49

1 vote

sklearn KNN fit throws out error : value too large for dtype('float64')

answered Aug 25, 2020 at 1:29

1 vote

How to deploy a deep learning model in Flask (Python)?

answered Aug 25, 2020 at 1:55

1 vote

LSTM multivariate time series prediction is performancing very poor

answered Aug 25, 2020 at 16:30

1 vote

Accepted

Semantic networks: word2vec?

answered Aug 17, 2020 at 8:56

1 vote

How to combine two different embeddings in the best way possible?

answered Aug 20, 2020 at 0:44

1 vote

Accepted

How to build a database of image data for machine learning?

answered Sep 17, 2020 at 13:31

1 vote

How to improve deep learning model having less data

answered Sep 7, 2020 at 13:03

1 vote

Accepted

Understand the equations of quantile regression forest (Meinshausen)?

answered Sep 19, 2020 at 6:58

Stack Exchange Network

55 Answers

Why use deep neural networks over methods like linear regression or SVM?

Understanding the "Wide" part of Google's wide and deep

How to create custom Activation functions in Keras / TensorFlow?

How to compute f1 in TensorFlow

Recommendation system depend on user rating and favorite list

Export pandas dataframe to a nested dictionary from multiple columns

LSTM claim found in paper

Alternatives with better GPU than Google Colab Pro

Should I use MongoDB instead of storing data in CSV in python?

How to include user features in a recommender system?

feature importance after classification

How to apply multiple clustering algorithms to same dataset and make comparison?

Normalize data with extreme outliers for forecasting

Gradient Descent in ReLU Neural Network

Efficient environment for machine or deep learning in Python

How to use Autoencoders for outlier detection on images

Time series modelling

What is difference between Multi-class One vs All and Multilabel Classification?

Can a recommendation system be built without any user ratings?

What is the branch of data science that deals with generating data? Looking for tutorials

I have this data set for crimes of a 12 month time period, over 250k rows. I want to predict future crimes by date and location

How would one get the HTML structure of a web page as a numeric vector?

sklearn KNN fit throws out error : value too large for dtype('float64')

How to deploy a deep learning model in Flask (Python)?

LSTM multivariate time series prediction is performancing very poor

Semantic networks: word2vec?

How to combine two different embeddings in the best way possible?

How to build a database of image data for machine learning?

How to improve deep learning model having less data

Understand the equations of quantile regression forest (Meinshausen)?