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MLOps for beginner

The Great

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Nicolas Martin

2,168

answered 2 days ago

2 votes

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Darren Cook

595

answered 11 hours ago

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Features and LSTM

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Fancq

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modified Jun 30 at 12:11

1 vote

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Huge datasets for practise

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Sammy

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answered 18 hours ago

2 votes

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Shayan

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46 views

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Nicolas Martin

2,168

answered Jun 28 at 19:50

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Nikos M.

2,073

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bmasri

1

modified Jul 1 at 8:44

0 votes

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29 views

How does Catboost regressor deal with categorical features at predict time?

regression encoding gradient-boosting-decision-trees catboost

dx2-66

156

modified Jun 30 at 14:29

0 votes

1 answer

22 views

How do I train a CNN using my own dataset?

python image-classification convolutional-neural-network

dx2-66

156

answered Jun 30 at 7:47

0 votes

1 answer

28 views

Why there is a gap when generating lags in time series?

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NeverSayEver

1

modified 2 days ago

1 vote

2 answers

20 views

Converting voting district GeoID to approximate zip code?

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Nicolas Martin

2,168

answered 2 days ago

1 vote

1 answer

23 views

Reproduce Keras training results in Jupyter Notebook

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Nicolas Martin

2,168

answered Jun 29 at 20:30

0 votes

1 answer

22 views

How to reduce the size of Bert model(checkpoint/model_state.bin) using pytorch

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Nicolas Martin

2,168

answered Jul 1 at 10:21

0 votes

1 answer

26 views

UpConvolution feature extraction [closed]

deep-learning convolutional-neural-network computer-vision convolution image-segmentation

yakhyo

157

answered Jun 29 at 10:12

0 votes

0 answers

25 views

How do I continue train fasttext pretrained model? [closed]

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CommunityBot

1

modified Jun 30 at 16:12

1 vote

1 answer

24 views

A way to perform voting and select a candidate based on nearest neighbours

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Brian Spiering

16.5k

modified Jul 1 at 12:48

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What is the right Pytorch RNN implementation?

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dx2-66

156

answered Jun 30 at 13:56

1 vote

1 answer

18 views

Grid Searching seed in randomized machine learning

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Erwan

21.8k

answered Jun 30 at 8:39

0 votes

0 answers

23 views

How can "profiling" be done in a dataset? What are the different techniques?

feature-engineering feature-extraction dimensionality-reduction data-analysis

thesadclown

1

asked Jun 29 at 13:50

0 votes

0 answers

21 views

Best Neural Networks for Models with If Statements

machine-learning deep-learning neural-network

Nikos M.

2,073

modified yesterday

1 vote

1 answer

16 views

In LSTM why h_t output twice?

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Nicolas Martin

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modified 2 days ago

2 votes

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16 views

Nested Cross-Validation with Small dataset

cross-validation model-selection

Erwan

21.8k

answered Jul 1 at 17:12

1 vote

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16 views

How to test the confidence for a rule based system?

machine-learning statistics metric hypothesis-testing confidence

Nicolas Martin

2,168

answered yesterday

0 votes

0 answers

19 views

Relation between batch size, number of steps, and learning rate

machine-learning training hyperparameter-tuning hyperparameter mini-batch-gradient-descent

danny

101

asked Jun 30 at 19:18

0 votes

0 answers

19 views

What is the purpose of convolutional layers (not deconvolutional) in decoder part of autoencoder?

deep-learning convolutional-neural-network computer-vision autoencoder convolution

canP

45

asked Jun 29 at 9:57

0 votes

0 answers

19 views

Transfer learning: As simple as running trained models on new data?

transfer-learning

There

121

modified Jun 29 at 4:18

0 votes

0 answers

18 views

Data Imbalance in Contextual Bandit with Thompson Sampling

logistic-regression reinforcement-learning class-imbalance

MABQ

1

asked Jul 1 at 18:29

-1 votes

0 answers

18 views

Calculation of data sparsity in data warehouse

data-mining data-cleaning sparsity

Andre

1

asked Jun 28 at 11:21

1 vote

1 answer

14 views

Understand the reason of embedding and the size inside it in Pytorch

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Ajay Chawda

56

answered 17 hours ago

1 vote

0 answers

17 views

why layer of dimension 1 is outputting image of size n

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Nikos M.

2,073

modified Jun 29 at 10:39

0 votes

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17 views

How can I download the source html markup of a dynamically generated page?

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samuelnihoul

13

modified Jun 29 at 16:39

1 vote

0 answers

17 views

What methods I could use to analyze the contingency table?

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Karpi

11

asked Jul 1 at 12:44

0 votes

0 answers

16 views

How do machine learning applications communicate with one another?

machine-learning api

Pro-grammer

101

asked Jun 30 at 11:12

1 vote

1 answer

16 views

How can I implement lambda-mart with lightgbm?

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Akash Dubey

664

answered 2 days ago

0 votes

1 answer

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how to handle soft weight constraints in neural network

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Aramakus

176

answered 21 hours ago

1 vote

1 answer

16 views

What did Sentence-Bert return here?

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Pushpam Punjabi

1

answered 1 hour ago

0 votes

0 answers

14 views

Explainable AI in manufacturing

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Kusisi Karem

41

asked Jun 29 at 4:31

1 vote

1 answer

14 views

Problem understanding the forward algorithm for HMMs

mathematics bayesian markov-hidden-model

Erwan

21.8k

answered Jul 2 at 9:03

2 votes

0 answers

14 views

Is batch size of 1 a valid choice for a very deep neural network with high memory requirement?

deep-learning training image-segmentation convergence memory

Ankur Chrungoo

121

asked Jun 30 at 23:04

1 vote

2 answers

14 views

What does this statement relative to neural network weight initialization mean?

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Rexcirus

196

answered 10 hours ago

0 votes

0 answers

13 views

What does the log-likelihood say and how is it to be interpreted?

machine-learning regression machine-learning-model bayesian-networks parameter-estimation

Dawid

3

asked 2 days ago

0 votes

0 answers

13 views

Whats the thought process behind using libraries?

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Deepak Gupta

1

asked 2 days ago

0 votes

0 answers

13 views

Normalize a melspectrogram to a simple image format (0, 255)

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Thomas Jalabert

101

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0 votes

0 answers

13 views

Multilayer/deep recurrent layer

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186

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0 votes

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Is the result of my feature encoding numeric or categorical?

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Hendrik

7,917

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