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Data Science : Recent Questions and Answers (Page 263)

Find answers to your questions about Data Science or help others by answering their Data Science questions.

Attention mechanism in Tensorflow 2

In the past days, I read up on the theory behind attention, when to apply it and what types there are. I think I have a decent first understanding of...

Asked on 12/30/2020 by PKlumpp

2 answer

How to get accurate estimates on Neural Networks Hessian?

I need to get not only accurate estimates on the neural network output itself but also on its second order derivatives in order to use the NN for optimization problems....

Asked on 12/30/2020 by Saul Santos

0 answer

Model for classifying time-series data with distinct features?

I've heard about time-series classification being done with TCN's and CNN's combined with LSTM's very often, citing that CNN's would provide insight both forward and in the past since you...

Asked on 12/30/2020 by Rithwik Sudharsan

1 answer

Two questions on hyper-parameter tuning

Question 1: In the example of logistic regression, I often see the regularization constant and penalty methods being tuned by a grid search. However, it seems like there are...

Asked on 12/30/2020 by rocksNwaves

1 answer

Predicting future automobile sales

I am new to Machine Learning. Recently I am trying to build a model to predict the sales of a particular automobile make and model of a dealership and to...

Asked on 12/30/2020 by Simi

1 answer

Identifying sequences of actions required to complete tasks, based on data of completed tasks

I have a list of about 20 tasks that a machine need to be performed by a machine. Each tasks consists of a sequence of 3 to 5 actions that...

Asked on 12/30/2020 by SnShines

2 answer

Vertical lines of overlapping points in Seaborn Swarmplot

When I plot my data to see its distribution via Swarmplot, these two vertical lines that seems to even overlap occur in the figure....

Asked on 12/30/2020 by crinix

1 answer

How keras.layers.embedding learn word embeddings?

I was trying some tensorflow tutorials and see that in all of them they use layers.embedding to learn these word embeddings, but how are these learned? , with a NN?...

Asked on 12/29/2020

1 answer

Handling categorical missing values ML

I have gone through this regarding handling missing values in categorical data. Dataset has about 6 categorical columns with missing values. This would be for a binary classification problem...

Asked on 12/29/2020 by omdurg

3 answer

Multi Object Detection

Might sound like a very basic question, but in a detection problem with multiple objects (solved by regression) how does the weight update work such that regression equations of all...

Asked on 12/29/2020 by Priya Mehta

1 answer

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