Data Science Stack Exchange

3

votes

0

answers

2k

views

+50

Doc2vec to calculate cosine similarity - absolutely inaccurate

modified 5 mins ago Valentin Calomme 1,902

1

vote

1

answer

85

views

Using machine learning to evaluate a random number generator

generative-models

modified 9 mins ago Valentin Calomme 1,902

0

votes

1

answer

5

views

Is it possible to change test and train data size when using crossvalind function with Kfold param?

dataset cross-validation

answered 15 mins ago Romain Reboulleau 715

0

votes

1

answer

54

views

problem submitting classification problem

machine-learning classification

modified 21 mins ago Community♦ 1

1

vote

1

answer

89

views

Tweedie Loss for Keras

keras regression xgboost loss-function

modified 1 hour ago Community♦ 1

2

votes

1

answer

34

views

why an advanced LSTM model produce the same results as a simpler one?

deep-learning classification nlp lstm rnn

modified 1 hour ago Valentin Calomme 1,902

1

vote

1

answer

56

views

Why might trees work so much better than boosting classifiers?

classification scikit-learn

modified 1 hour ago Valentin Calomme 1,902

1

vote

2

answers

27

views

Accuracy of KFold Cross Validation for Neural Network

neural-network cross-validation training accuracy

modified 1 hour ago Valentin Calomme 1,902

2

votes

2

answers

5k

views

Checking Correlation of Categorical variables in SPSS

correlation categorical-data spss

modified 2 hours ago Community♦ 1

0

votes

0

answers

4

views

Image reconstruction using low-light components

regression linear-regression computer-vision

asked 3 hours ago Don Draper 1

1

vote

1

answer

60

views

Predicting a cyclic target

machine-learning feature-engineering

modified 3 hours ago Community♦ 1

1

vote

1

answer

43

views

Neural network is getting partially trained

neural-network training backpropagation

modified 4 hours ago Community♦ 1

0

votes

0

answers

6

views

How to fit integer output in neural network

machine-learning python neural-network keras tensorflow

asked 4 hours ago Zeal 1

-1

votes

0

answers

6

views

Multiple integer output for neural network [closed]

machine-learning python neural-network keras tensorflow

modified 4 hours ago Zeal 1

0

votes

1

answer

36

views

Can I use regression to solve a multiple equation problem

regression linear-regression linear-algebra

modified 5 hours ago Community♦ 1

2

votes

1

answer

368

views

normalization/denormalization for linear regression problem

machine-learning linear-regression preprocessing

modified 6 hours ago Community♦ 1

0

votes

0

answers

5

views

How to use machine learning to database design [closed]

machine-learning databases

asked 7 hours ago Prof Monika Shah 1

0

votes

1

answer

29

views

Time Posting Data Analysis

correlation

modified 7 hours ago Community♦ 1

0

votes

1

answer

326

views

Modelling promotions for demand forecasting

machine-learning time-series regression forecast

modified 8 hours ago Community♦ 1

2

votes

2

answers

24

views

Can someone explain what batch size is doing in convolutional NNs?

deep-learning cnn model-selection

answered 8 hours ago Yohanes Alfredo 392

2

votes

3

answers

542

views

Detect the time at which deviation occurs in time series data

machine-learning python deep-learning time-series anomaly-detection

modified 9 hours ago Community♦ 1

0

votes

3

answers

993

views

Mutate with custom function in R does not work

r dataframe dplyr

modified 9 hours ago Stephen Rauch♦ 1,643

1

vote

0

answers

11

views

Evaluating the performance of a machine learned recommendation system

machine-learning recommender-system evaluation information-retrieval cosine-distance

modified 9 hours ago HumptyDumpty 169

0

votes

2

answers

3k

views

How pairplot is constructed? Based on what rule? Why people use it?

visualization plotting

modified 10 hours ago Community♦ 1

4

votes

2

answers

83

views

Is there a rule of thumb when designing neural network in deep reinforcement learning?

machine-learning neural-network reinforcement-learning

modified 11 hours ago Community♦ 1

0

votes

1

answer

145

views

Integration of Sentiment analysis in CRM

machine-learning python sentiment-analysis

modified 12 hours ago Community♦ 1

2

votes

2

answers

24

views

How should multiclass classifier performance be measured when one type of error is preferred over another?

classification accuracy metric

modified 13 hours ago Community♦ 1

0

votes

1

answer

19

views

How do I run SMOTE on image data using the packages available?

cnn class-imbalance smote

modified 14 hours ago Community♦ 1

0

votes

1

answer

184

views

Getting parameters of the best model with crossvalidation in with SparkMLLib

python cross-validation pyspark

answered 14 hours ago Mike 1

1

vote

1

answer

51

views

ValueError from statsmodels ExponentialSmoothing

python pandas forecast

modified 14 hours ago Ben Reiniger 2,555

1

vote

0

answers

9

views

How to generate synthetic data for a prediction task in Matlab

dataset prediction matlab

asked 15 hours ago Srishti M 429

0

votes

0

answers

7

views

Difference between packaged sentiment analysis tools (TextBlob/NLTK) and training your own classifier?

machine-learning nlp sentiment-analysis nltk classifier

asked 15 hours ago David Andrews 1

3

votes

1

answer

76

views

Feature selection for time series prediction

time-series feature-selection correlation

modified 15 hours ago Community♦ 1

0

votes

0

answers

26

views

How do I perform a Kaiser-Meyer-Olkin test (KMO) on Orange?

pca orange

modified 15 hours ago Carlos R A Franca 11

4

votes

2

answers

3k

views

Additive vs Multiplicative model in Time Series Data

r time-series forecast data-analysis

modified 16 hours ago Asmamaw Amogne 1

1

vote

2

answers

27

views

Can some one please explain AI, Machine learning and Deep learning? [closed]

machine-learning deep-learning ai

modified 16 hours ago goryh 101

1

vote

0

answers

19

views

KMeans clusterization on documents

clustering k-means

asked 16 hours ago Andrea Moro 41

0

votes

1

answer

39

views

Reducing noisy data from non normal distribution of data with std deviation?

noise

modified 16 hours ago Community♦ 1

1

vote

0

answers

11

views

image classification with training set with 4 classes and test set with 3 classes

machine-learning neural-network cnn image-classification

asked 16 hours ago J.D. 307

2

votes

3

answers

3k

views

Neural network for Multiple integer output

neural-network classification regression

answered 17 hours ago Peter 2,031

0

votes

0

answers

3

views

Examples of the use of xgboost for recommender systems?

xgboost recommender-system

asked 17 hours ago Glassjawed 101

2

votes

1

answer

15

views

What is the difference between all the different types of learning within machine learning?

machine-learning unsupervised-learning supervised-learning semi-supervised-learning

answered 17 hours ago Peter 2,031

1

vote

0

answers

4

views

Comparison of dispersion measures of different samples with different subsamples

variance

asked 17 hours ago Shirish Kulhari 187

17

votes

1

answer

25k

views

How does the validation_split parameter of Keras' fit function work?

keras data cross-validation

modified 18 hours ago nbro 570

2

votes

0

answers

18

views

How do I interpret loss in a neural network?

machine-learning neural-network cnn

modified 18 hours ago J.D. 307

2

votes

2

answers

83

views

optimal combination of hyper parameters and model selection

machine-learning deep-learning model-selection

modified 18 hours ago Community♦ 1

1

vote

0

answers

5

views

Checkerboard artifacts output using a FCN8

deep-learning cnn

asked 18 hours ago Luís Costa 121

0

votes

1

answer

178

views

How can I detect anomalies/outliers in my online streaming data on a real-time basis?

deep-learning classification unsupervised-learning anomaly-detection stacked-lstm

modified 19 hours ago Community♦ 1

Top Questions

Looking for more? Browse the complete list of questions, or popular tags. Help us answer unanswered questions.