All Questions

I am aware that the different dimensions in the word embedding represents different information and algebraic operations can be performed between two embeddings for example. Can anyone point me to ...

I understand that the default way a scikit-learn regressor works is that we fit it to a dataset of features and targets (X_train, ...

What is the significance of max_iter in sklearn.cluster.MiniBatchKMeans? Is this the maximum number of times partial_fit() can be executed on batches of data?

What is the difference between stacked lstm vs attention mechanism in LSTM? It seem to me that both produce the same context vector at the end.

I have several different scores that I'd like to combine them into a single score that represents all parameters. Score components are: Nutrition Score (1-10): 1 for the worst quality and 10 for the ...

I use R through the anaconda navigator, which manages all my package installations. I need to use qgraph for a project, which is dependent on mnormt library, which in turn needs RStudio verion >4.0 ...

I am looking to use an auto ML platform for retail forecasting. Will use 3.5 years of sales data. Our business has changed significantly. Higher margins, fewer incentives and competition has ...

I got two classes namely positive and negative with 1500 samples on each a total of 3k. A sample sequence is like: ...

As an example: I need to compare the extent of variability amongst houses belonging to 4 different architectural eras - I want to see how different the houses are within each group and then compare ...

Please suggest some datasets (can be synthetic, like rendered in blender or so) which have video frames (30fps preferred) with accurate ground truth depth maps and pose (rotation and translation for ...

I created text prediction application with Shiny.Everything works fine but now I need to output HTML sort of links instead of plain text output,where by clicking on the link of the output can help me ...

I am working on a multi-class text classification problem and performing an Ensemble learning for text classification. I chose hard voting as ensemble technique. I tried to plot ROC curve for my ...

If I were to construct a model where only a subset of the training data is passed to the loss function, can the other parts of the dataset influence the fit? More concretely, in this first example: <...

Below code is used for plotting decision boundary for KMeans clustering. I understand contour in general, my question is, how does plot (contour method) know where to draw decision boundary based on ...

As I understand, we use graph embedding to make a euclidean representation of non-euclidean structure - graph. Does it mean that conceptually we just take a step back to, may be, more complex, but ...

I am fairly new to Machine Learning and Data Science. I have been assigned a project in which I have to build a system that collects images of a car from 4 angles using different cameras and then ...

Many internet sides describe blending as "Blending is a word introduced by the Netflix winners"(in 2009 of the 1 mio $ Netflix competition) and it´s a method where you create a small holdout ...

I have a dataset where I have features from winning tennis players and the other half are from a losing tennis players: ...

I know that feature scaling is an important pre-processing step for creating artificial neural network models. But what about Gradient Boosting Machines, such as LightGBM, XGBoost or CatBoost? Does ...

I am interested in using an information-theoretic approach (likely AIC) to compare the explanatory power of several functional hypotheses. As an example, hypothesis H1 predicts significant association ...

I am trying to use my data to predict the classes of the input. My data are as the following: ...

The update equation of AdaGrad is as follows: I understand that sparse features have small updates and this is a problem. I understand that the idea of AdaGrad is to make the update speed (learning ...

I am interested in using an information-theoretic approach (likely AIC) to compare the fit of several models to a dependent variable X. M1 may take the form ...

I am trying to implement a custom GRU model that is shown in this paper 3D-R2N2 The GRU pipeline looks like: The original implementation is theano based and I am trying to apply the model in tf2/...

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I need to create a summarized report showing how many containers are being imported by each company. This report needs to be generated on monthly basis. The company names are entered in a way that ...

I have a set of documents (1 to 11) for which the labeling is done. Lets Assume: ...

I am running xgboost on a regression classification problem where the model is predicting a score of how likely a gene is to cause a disease from 0-1. I try to avoid overfitting in all the ways I can ...

I have a dataset of magnetometer sensor readings which looks like: ...

I have a database which has measurements of objects every day every hour. However, some data is missing and I don't have measurements for all the hours. in order to get over this challenge I have ...

I have a dataset of drone captured images (non-geotaggged) which I would like to stitch to form a single image. I wanted to know what type of a neural network can I use to associate multiple images to ...

I'm a student in Data Analysis, working on a data clustering exercise. Two clusters have been identified based on a dataset with 40 features. To interpret and label these clusters, I'm wondering if ...

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Part of a model I am making includes the frequency with which people go shopping for a given good (e.g. people on average go to the supermarket some n times a month). I am trying to figure out what ...

I am working on a project with Software Defined Networks (SDN), and new to SDN area. I was checking around internet to find a benchmark dataset, which is a flow based dataset inorder to apply ML ...

I have a time-series data for 3 classes (each class is 35 second) as I extract each 1 second for 95 feature extracting so my final data has shape (105,95) (rows for time and column for feature). I am ...

I am trying to predict some time-series data. The output data predicts two numbers (one that's usually greater than 1 and another that is usually less than 1). I've plotted about 800 samples where the ...

Why the neural network is updating only after the whole batch passes?

I am trying to build a model (most likely a regression or random forest regression) for quarterly financial data. My training data has a daily cadence, but I am not sure how to work with these to ...

I have an OCR (tesseract) engine running on processing "chyron" text from a live stream news feed. However, the OCR is often inaccurate and ends up with some noisy words: ...

In a binary classification problem, it is easy to find the optimal threshold (F1) by setting different thresholds, evaluating them and picking the one with the highest F1. Similarly is there a proper ...

Is there a way to find the number of clusters in mapper.map? It is a module in kmapper.KeplerMapper. When I plot the graph ...

This is more of an open question with people which have experience in this. I'm working on a multi-class multi-label classification for chest x-rays. I would like to know how much can reducing the ...

Is there a range of values for the bottleneck distance in persim package (python) to conclude that the two datasets are similar? Also, does it make sense to compute the bottleneck distance using $H_0$ ...

I'm attempting to recreate some figures from a publication I read (I'm a math minor, so apologies in advance for my weak terminology knowledge, and for the same reason if I'm in the wrong stack site). ...

what is the difference between slope of line and slope of curve ? Is it valid to use numpy.gradient to find slope of line and slope of curve at any point ? ...

I'm working on a Twitter classification task and while analyzing the errors I found quite a few strange predictions. I'm searching for a tool (preferably open-source) similar to https://...

how to find slope at certain points circled in blue in below curve ? Are these below 2 approaches valid ? though they give different results . How to automatically find the points where the slope ...

I am trying to make a CNN model on IAM handwritten words data(which has images of words handwritten by multiple people and targets are text in the images). So, I can encode words to numbers(A=0, B=1 ...

I am trying to optimise my network that is trying to perform regression. Currently, the dataset is dominated by values in a certain range. It is very good at predicting these values. I want to try to ...