Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 55

Which supervised learning algorithms are available for matching?

I'm working on a non-profit where we try to help potential university applicants by matching them with alumni that want to share their experience/wisdom and, at the moment, it is...

Asked on 08/12/2021 by Hail Caesar

3 answer

The memorisation capacity of an LSTM (real numbers)

My question is the following: It is known that a LSTM can remember sequences of one-hot encodings which represent integers (i.e. output $x_1, ... x_n$ after receiving $x_1,...

Asked on 08/12/2021 by Sean Lee

1 answer

Effect Analysis with Survival Bias Data

First of all, let me define some terms:Survival BiasThe data we collected is biased (because we only managed to recognise users who survived through the process)Landing PageThe first...

Asked on 08/12/2021

0 answer

How to read the predicted label of a Neural Netowork with Cross Entropy Loss? Pytorch

I am using a neural network to predict the quality of the Red Wine dataset, available on UCI machine Learning, using Pytorch, and Cross Entropy Loss as loss function.This...

Asked on 08/12/2021

2 answer

Can identifiers be used to train a model?

I recently participated in some Machine Learning competition where we were asked to decide whether a rider should accept or not a course (~2k riders and ~140k courses). It came...

Asked on 08/12/2021

2 answer

History that lead to the word "predict" being used for the application of a model on data

BackgroundThe framework scikit-learn uses "predict" for the application of model on (new) input data and I have seen many people use that term. In the scientific papers that I have...

Asked on 08/11/2021

0 answer

Confusion matrix to check results

I am a new user in StackExchange and a new learner of Data Science. I am working on better understanding how to estimate the results collected, specifically fake users extracted...

Asked on 08/11/2021 by user105599

2 answer

Dealing with pre-trained model for grayscale images

I would like to do Transfer Learning using one of the novel networks such as VGG, ResNet, Inception, etc. The problem is that my images are grayscale (1 channel) since...

Asked on 08/11/2021

1 answer

Better approach to assign values to determine potential fake sentences

I am trying to assign different values for each sentences based on information about the presence of hashtags, upper case letters/words (e.g. HATE) and some others. I created a data...

Asked on 08/11/2021

3 answer

How to run list comprehensions on GPU?

Is there a way to run complex list comprehensions like the following on GPU?[[x[index] if x[index]>len(x) else x[index]-1 for x in slice] if (len(slice)==1) else slice for slice,index in...

Asked on 08/11/2021 by Ishmael89

1 answer

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