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16

votes

4

answers

8k

views

Applications of Hessian-Free Deep Learning

Jan 17 '11 at 13:57 David Warde Farley ♦551 (asked by Jacob Jensen1914 )

deep-learning hessian-free neural-networks big-picture feature-extraction

16

votes

7

answers

8k

views

Python machine learning packages

Dec 27 '10 at 12:35 Jose Quesada186 (asked by George Sakkis286 )

python implementation

15

votes

3

answers

17275

views

What is the "hashing trick"?

Jun 11 '12 at 09:53 larsmans676 (asked by grautur961 )

14

votes

12

answers

9k

views

What are the best resources to use when starting machine learning for an experienced programmer?

Oct 28 '10 at 12:58 Do Thi Hang1 (asked by partoa1 )

starting machine-learning noob

14

votes

13

answers

5k

views

Visualization tools for large data sets

Dec 22 '10 at 20:57 Michael Warner1 (asked by Mark Alen1323 )

visualization data

13

votes

2

answers

13821

views

Pretraining Neural Networks: Autoencoders vs Restricted Boltzmann Machines

Oct 23 '14 at 17:19 Chet Corcos1 (asked by Andrew Gibiansky201 )

pretraining autoencoder autoencoders neural-networks rbm

13

votes

12

answers

16195

views

Which programming language has the best repository of machine learning libraries?

Oct 20 '11 at 17:04 Gael Varoquaux921 (asked by yura1025 )

libraries python java algorithms machine-learning

13

votes

3

answers

8k

views

When should you prefer GraphLab over MapReduce? And vice-versa?

Aug 02 '10 at 12:13 Joseph Gonzalez151 (asked by Joseph Turian ♦♦5790 )

graphlab abstractions parallelism mapreduce

11

votes

5

answers

5k

views

What is the difference between conditional and discriminative models?

Apr 30 '12 at 13:22 gdahl ♦3414 (asked by Frank1349 )

training discriminative probability conditional generative modeling

11

votes

5

answers

8k

views

Why does K-means generate such good features, especially compared to GMM?

Nov 24 '11 at 03:13 Mathieu Blondel1191 (asked by Oleg Trott246 )

autoencoder gmm dbn k-means deep-learning rbm nips

3828questions

4575answers

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