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10

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4

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961

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In industry, what type of new data science algorithms does one develop?

predictive-modeling algorithms

answered yesterday joe sixpak 11

5

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2

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149

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RandomForest and tree feature importance in scikit-learn

answered 10 hours ago Sammy 1,288

3

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2

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176

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Skin Detection Classifier

machine-learning computer-vision

modified Jan 16 at 10:47 Sammy 1,288

5

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1

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85

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Why continuous features are more important than categorical features in decision tree models?

feature-selection decision-trees logistic-regression

modified Jan 15 at 21:36 Carlos Mougan 801

5

votes

3

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83

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+100

How can we extract fields from images?

machine-learning python deep-learning keras object-detection

modified yesterday Vikas Bhandary 26

2

votes

2

answers

77

views

What is the role of $W_{ax}, W_{aa}, W_{ay}$ in forward propagation in RNN? Are they hyperparameters? Why are they needed?

neural-network lstm rnn recurrent-neural-net

answered 32 mins ago Aj_MLstater 393

5

votes

1

answer

42

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Activation function between LSTM layers

machine-learning deep-learning keras lstm stacked-lstm

modified 23 hours ago n1k31t4 9,189

2

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2

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31

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How much can the AUC improve comparing the raw dataset and the feature engineered dataset?

machine-learning feature-engineering auc

answered 2 days ago Erwan 4,143

2

votes

1

answer

58

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Is it possible to make F1_Score differentiable and use it directly as a Loss function?

machine-learning python optimization loss-function f1score

answered 2 days ago Thomas FEL 21

0

votes

2

answers

45

views

In linear regression why we generally use RMSE instead of MSE

machine-learning linear-regression

answered yesterday Fatemeh Asgarinejad 1,026

0

votes

1

answer

35

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How many features does (Random Forest) need for the trees?

python random-forest

modified 4 hours ago Stephen Rauch♦ 1,693

3

votes

1

answer

72

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Time Series Model for multiple trends

machine-learning time-series machine-learning-model

modified Jan 17 at 9:38 Rohit Sohlot 31

1

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1

answer

47

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Random Forest prediction fails due to unseen Features

scikit-learn random-forest

modified Jan 15 at 12:40 Blenz 1,124

2

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1

answer

36

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How to separate words that are together in a large data set

pandas data data-cleaning bigdata text

modified yesterday Brian Spiering 6,339

1

vote

2

answers

27

views

Does it make sense to do train test split when trainning GANS?

machine-learning deep-learning cross-validation unsupervised-learning gan

modified 5 hours ago ncasas 5,415

2

votes

1

answer

56

views

How to properly apply CrossValidation and/or split the dataset?

machine-learning neural-network deep-learning dataset cross-validation

modified 2 days ago Erwan 4,143

2

votes

0

answers

69

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Multidimensional collaborative filtering model

machine-learning statistics recommender-system

asked Jan 15 at 13:54 Michael J 21

2

votes

1

answer

40

views

Why do probabilities sum to one and how can I set optimal threshold level?

machine-learning python classification text

modified Jan 17 at 12:39 Noah Weber 5,855

0

votes

1

answer

39

views

Handling Categorical Features on NGBoost

machine-learning boosting ensemble natural-gradient-boosting ngboost

modified Jan 18 at 2:22 Carlos Mougan 801

1

vote

2

answers

38

views

Predict the average temperature for next 30 years

python scikit-learn linear-regression

answered Jan 14 at 23:06 David Waterworth 248

1

vote

1

answer

38

views

How are images (roughly) clustered when using KNN

k-nn

modified Jan 17 at 12:10 Noah Weber 5,855

5

votes

1

answer

37

views

Can I completely cancel the effects of using a smaller batch size by reducing the learning rate?

neural-network optimization

answered Jan 16 at 21:01 Pieter21 881

2

votes

1

answer

26

views

Risk prediction vs classification model

machine-learning neural-network deep-learning statistics logistic-regression

answered Jan 16 at 15:47 Danny 753

1

vote

1

answer

42

views

How to plot multiple columns with ggplot in R?

r visualization ggplot2

answered Jan 17 at 0:30 dc37 126

4

votes

1

answer

43

views

Calculate confidence score of a neural network prediction

scikit-learn predictive-modeling prediction predict

modified 3 hours ago yamini goel 161

3

votes

1

answer

31

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Confidence value for face recognition

statistics image-recognition probability distribution

modified Jan 18 at 9:21 lorenzo 31

1

vote

1

answer

39

views

Decision tree regression: Polynomials unnecessary?

scikit-learn regression decision-trees

modified yesterday Carlos Mougan 801

2

votes

1

answer

48

views

+50

Will this MAPE implementation work for multidimensional output?

deep-learning cnn

modified 3 hours ago Brian Spiering 6,339

2

votes

2

answers

46

views

How to reduce the error in linear regression [closed]

machine-learning linear-regression

answered Jan 18 at 14:22 Leevo 2,307

1

vote

1

answer

34

views

A fundamental question about the gradient descent equation

machine-learning gradient-descent

modified yesterday AccLok 107

0

votes

2

answers

26

views

“Pip install tensorflow” only installs version 1.14 – how to install version 2 (with eager mode enabled?)

tensorflow

answered yesterday Michael Grogan 304

2

votes

1

answer

32

views

How to validate regex based Resume parser efficiently

machine-learning python nlp data-science-model regex

answered 2 days ago Erwan 4,143

1

vote

0

answers

40

views

How could we use a neuron instead of 100 neurons in 0.01 standard Weight initialization

deep-learning weight-initialization

asked Jan 15 at 6:07 douner 33

3

votes

1

answer

30

views

What is a good method for detecting local minims and maxims?

python algorithms kernel

modified Jan 15 at 10:05 Giannis Krilis 146

2

votes

1

answer

23

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Interpreting Gradients and Partial Derivatives when training Neural Networks

machine-learning neural-network loss-function gradient-descent backpropagation

answered Jan 17 at 18:37 Leevo 2,307

1

vote

1

answer

28

views

Seaborn distplot and KDE data confusion

matplotlib seaborn

answered Jan 18 at 12:45 Oxbowerce 131

1

vote

1

answer

28

views

Implementing “full convolution” to find gradient w.r.t the convolution layer inputs

machine-learning python convolution backpropagation numpy

answered Jan 14 at 21:42 Pieter21 881

1

vote

1

answer

28

views

Using LSTMs for continous learning and predicting

keras time-series lstm

answered 2 days ago Michael Grogan 304

1

vote

1

answer

28

views

Comparing excel data sets in Pandas

python pandas excel

modified yesterday Pieter21 881

1

vote

2

answers

28

views

h in LSTM increasing in size?

machine-learning neural-network lstm rnn

modified 7 hours ago Sammy 1,288

2

votes

1

answer

35

views

Machine learning model with simultaneous function optimization

machine-learning python classification optimization

answered Jan 15 at 8:40 Carlos Mougan 801

1

vote

1

answer

35

views

Feature extraction from Resume using Python without rule based logic

machine-learning python nlp data-science-model

answered Jan 17 at 9:25 Noah Weber 5,855

1

vote

1

answer

35

views

Assistance needed on what machine learning approach to use

classification clustering reinforcement-learning

answered yesterday Pieter21 881

1

vote

0

answers

34

views

Can anyone direct me on how to got to [closed]

machine-learning python deep-learning image-classification preprocessing

modified Jan 17 at 9:47 kaanbay 13

1

vote

1

answer

34

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Understanding cosine distance with word vectors

nlp cosine-distance

modified 4 hours ago Jindřich 128

1

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1

answer

16

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What is a 'hidden state' in BERT output?

natural-language-process recurrent-neural-net bert

answered 19 hours ago Astariul 468

0

votes

1

answer

26

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What applications does linear programming have in data science?

optimization career linear-programming

answered 2 days ago Carlos Mougan 801

2

votes

1

answer

33

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How to split a CSV into a dataframe without newline

pyspark csv

answered 5 hours ago Pieter21 881

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