Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 75

Meaning of latent features?

I am learning about matrix factorization for recommender systems and I am seeing the term latent features occurring too frequently but I am unable to understand what it means. I...

Asked on 07/18/2021 by Jack Twain

4 answer

Using a part of a trained model in a custom loss function -Tensorflow

I want to write a custom loss function that uses the intermediate result of a trained discriminator.the loss function compares images.the loss function is for recovering the latent...

Asked on 07/18/2021 by theCNN

2 answer

Time series prediction with Lstm on patients data

My data includes different time series length (depends on number of exams each patient did) as well the interval between exams is different.How can I run lstm on this...

Asked on 07/18/2021 by user1554444

1 answer

How does transform work?

I was looking at the source codes of MinMaxScaler on Github. I know that when you fit a preprocessing class to a dataset, it takes the data and prepares it...

Asked on 07/18/2021 by Rutrasss

1 answer

How to Integrate/map Population Data with/over Sample Data

Problem Definition:Our organization is conducting different type of surveys and Census in our country. The basic difference between Census and Survey is that, the target of Census is the...

Asked on 07/18/2021 by Asif Khawaja

0 answer

gradient descent for non convex function like $-x^2$

I know how to calculate gradient descent for a convex function where there is only one global minima. Also, I know methods to handle cases where the function is a...

Asked on 07/18/2021

1 answer

Calculate number of parameters for ConvLSTM2D layer

time_distributed_24 (TimeDis (None, 16, 64, 64, 512) 0 conv_lst_m2d_2 (ConvLSTM2D) (None, 16, 64, 64, 128) 2949632 ...

Asked on 07/17/2021 by yhelothar

1 answer

BERT: it is possible to use it for topic modeling?

I'm struggling to understand which are the full capabilities of BERT: it is possible to make topic modeling of text, like the one we can achieve with LDA?...

Asked on 07/17/2021 by xcsob

4 answer

Why does batchnorm1d in Pytorch compute 0 with the following example (2 lines of code)?

Here is the codeimport torchimport torch.nn as nnx = torch.Tensor([[1, 2, 3], [1, 2, 3]])print(x)batchnorm = nn.BatchNorm1d(3, eps=0, momentum=0)print(batchnorm(x))Here is what is printedtensor([[1., 2., 3.], ...

Asked on 07/17/2021 by Eldacar Hyarmendacil

1 answer

Quality check for preprocessing of Text data

I have developed a pipeline for text data preprocessing with different clean up techniques like Stemming , Lemmatization, Stop words removal etc. But now the ask from the business team...

Asked on 07/17/2021

1 answer

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