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Votes Activity Newest Views Added
147
votes
17
answers
122k
views

Best python library for neural networks

machine-learning python neural-network
Dec 11 '18 at 23:39 n1k31t4 12.8k
147
votes
6
answers
128k
views

When to use GRU over LSTM?

neural-network deep-learning lstm gru
Jun 30 at 8:06 Daniel J. Dick 1
120
votes
15
answers
116k
views

Python vs R for machine learning

machine-learning r python
Oct 3 at 19:22 Peter 4,819
101
votes
10
answers
105k
views

Choosing a learning rate

machine-learning neural-network deep-learning optimization hyperparameter
Jan 31 '20 at 16:28 Fernando Wittmann 111
51
votes
9
answers
8k
views

Is the R language suitable for Big Data

bigdata r
Feb 23 '19 at 11:34 Kevin Bowen 113
23
votes
4
answers
30k
views

Natural Language to SQL query

machine-learning nlp sql natural-language-process
Jun 4 at 19:31 iva123 111
18
votes
5
answers
27k
views

Choose binary classification algorithm

classification binary svm random-forest logistic-regression
Apr 12 '15 at 16:12 Community♦ 1
14
votes
3
answers
666
views

When are p-values deceptive?

bigdata statistics
May 15 '14 at 8:25 Alex I 3,002
14
votes
3
answers
812
views

How are deep-learning NNs different now (2016) from the ones I studied just 4 years ago (2012)?

neural-network deep-learning
May 1 '17 at 7:47 Martin Thoma 15.9k
12
votes
2
answers
7k
views

Tradeoffs between Storm and Hadoop (MapReduce)

bigdata efficiency apache-hadoop distributed
Jun 10 '14 at 23:33 j_houg 411
11
votes
3
answers
6k
views

Best languages for scientific computing [closed]

efficiency statistics tools knowledge-base
Jun 20 '14 at 7:11 Marc Claesen 281
10
votes
2
answers
1k
views

How can I detect if an image was photoshopped?

computer-vision
Jan 16 '18 at 19:31 Media 12.3k
9
votes
2
answers
226
views

Which algorithm to apply for choosing the right point

machine-learning
Feb 12 '18 at 15:23 Stephen Rauch♦ 1,735
8
votes
1
answer
8k
views

What is the difference between “expected return” and “expected reward” in the context of RL?

reinforcement-learning terminology
Dec 15 '17 at 21:27 Neil Slater 24.9k
5
votes
3
answers
106
views

Can you learn an algorithm from a trained model?

training machine-learning-model
Dec 17 '18 at 16:00 Community♦ 1
5
votes
2
answers
776
views

Topic modeling for short length sentences

machine-learning nlp clustering text-mining lda
Jan 9 '18 at 13:58 trollster 160
4
votes
1
answer
685
views

Multiclass classification with Neural Networks

machine-learning neural-network deep-learning r multiclass-classification
Feb 26 at 6:29 Shayan Shafiq 891
4
votes
1
answer
101
views

A trick used in Rademacher complexity related Theorem

machine-learning theory pac-learning
Apr 10 '19 at 12:07 Esmailian 7,659
3
votes
1
answer
2k
views

What is the difference between dynamic programming and Q-learning?

reinforcement-learning q-learning dynamic-programming
Feb 15 '19 at 15:08 Community♦ 1
2
votes
1
answer
57
views

Workaround for word embeddings that do not “see” antonyms

word-embeddings
Feb 20 at 1:08 Community♦ 1
2
votes
1
answer
502
views

Semi Supervised Learning without label propagation

python clustering word2vec semi-supervised-learning
Aug 7 '18 at 14:55 Mephy 897
1
vote
1
answer
752
views

Calibrate the predicted class probability to make it represent a true probability?

machine-learning neural-network deep-learning classification probability-calibration
May 19 '19 at 6:33 Ben Reiniger 7,513
1
vote
1
answer
149
views

Should I only use scalar labels with Keras LSTM?

keras lstm error-handling
Feb 26 '19 at 11:13 user3486308 163
0
votes
1
answer
284
views

Non trainable problems

machine-learning neural-network deep-learning supervised-learning
Feb 11 '18 at 21:31 Media 12.3k
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