Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 23

How to merge two CNN deep learning model using weighted sum and weighted product in Keras?

I am using Keras to create a deep learning model and I want to merge two CNNs by using weighted sum or weighted product. How can I merge two...

Asked on 09/30/2021

2 answer

Dataset where svm performance is significantly different from random forest

Is there a specific dataset where svm performs significantly better or worse than random forest? I know that the performance could depend on the dataset but is there a specific...

Asked on 09/30/2021 by Simon Chemnitz-Thomsen

1 answer

In a neural network, is it possible to gradient descent with more than one input?

I went through a few tutorials, examples recently, and all (not sure if just for demonstration purposes) done gradient descent for one input. To get a deep understanding of backpropagation,...

Asked on 09/30/2021

2 answer

Automatic topic labelling for topic modelling

I am just curious to know if there is a way to automatically get the lables for the topics in Topic modelling. It would be really helpful if there's any...

Asked on 09/30/2021 by shivanshu dhawan

2 answer

Sentiment analysis of tweets (Train model on a labelled dataset and use on some other unlabelled data)

I have a huge amount of tweets on a particular topic say 'ABC' and the data is not labelled. I want to perform multi-class sentiment analysis of these tweets. I...

Asked on 09/30/2021 by Doofenshmirtz

1 answer

Do I need to use learning algorithms for this type of data?

I'm studying the behavior of machine failures in a production scenario. For this, I generated random data to form my imbalanced training set, consisting of categorical data, which indicate whether...

Asked on 09/29/2021

0 answer

How to deal with name strings in large data sets for ML?

My data set contains multiple columns with first name, last name, etc. I want to use a classifier model such as Isolation Forest later. Some word embedding techniques were used...

Asked on 09/29/2021 by Danny Abstemio

1 answer

Model selection: large mean and variance vs small mean and variance

This question was always in my mind. Imagine you are doing 5-10 fold cross validation and one model gives you mean accuracy of 0.8, but with 0.2 standard deviation and...

Asked on 09/29/2021

2 answer

Multiple output size in neural network

In the paper "A NOVEL FOCAL TVERSKY LOSS FUNCTION WITH IMPROVED ATTENTIONU-NETFOR LESION SEGMENTATION" the author use deep supervision by outputing multiple outputmask which have different scale....

Asked on 09/29/2021

1 answer

Will one hot encoding / unbalanced columns cause bias to Clustering Analysis?

I'm wondering if having too many columns about one certain feature is gonna cause bias to the clustering analysis. For example, if my dataset has columns = ['incoming calls', 'outgoing...

Asked on 09/29/2021 by Joanne Zhou

2 answer

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