All Questions

I am enter to the Knowledge graph embedding and IA in General. I want to know where these two technologies are self-supervised And what is the future of this technologies ?

Let's say you're predicting the amount of money to bet in a poker game. Based on the game situation, you might decide to fold. In that case, the amount of money to bet is zero. If you decide to call ...

Input image size is 256x256 ...

Can a novelty detection model overfit? In novelty detection, the model is trained on normal data instances (not polluted by outliers) where no labels are used in the training process, while validated ...

I'm working on a regression problem to predict a variable y based on an input vector X with about 10 columns. To split the data for training and testing, I use the ...

I know that for calculating mean average precision first we must have ground truth files for each image in dataset. I am following this tutorial to detect whether a person has mask on its image or not....

We update a weight $w$ with Adagrad like this: $$s_t=s_{t-1}+(g_t)^2$$ $$w_t=w_{t-1}-\frac{lr}{\sqrt{s_t+e}}*g_t$$ Where, $lr$ is the learning rate, $e$ is to prevent division by zero, $g_t$ is the ...

I am starting learning ML and stuck with the number of possibilities in labelling. I have a sample which comprises 4 attributes (binary) (from the book Apprentissage artificiel, Antoine Cornéujols) ...

I'm learning how to use marginal likelihood/model evidence to choose between Bayesian linear regression models using these notes. The marginal likelihood for the 3 coefficient model greater than the 2 ...

I have a data set on predicting solar power generation,the dataset has 20 independent var and 1 dependent. The accuracy of my model is stuck at 60%. I have tried several models but this accuracy is ...

https://en.wikipedia.org/wiki/Figure_of_speech https://en.wikipedia.org/wiki/Rhetorical_device https://www.instagram.com/p/CFn36qVFpBX/?utm_source=ig_web_button_share_sheet Are there Machine learning ...

I have a project which is forecasting 4 pollutants based on their past values and 7 weather variables. Now, what I am wondering to know is : can a LSTM model receive all the 11 time series and provide ...

I have a dataset that contains for every row, a list X of x items, that is a subset of X_total, and a list Y of y items, that is a subset of Y_total. ...

I am a newbie to the forecasting world. I am working on a project where the goal is to estimate assortment effect on the weekly sales of a product at a retail store. Both location and merchandise have ...

The definition of PAC learning is roughly An algorithm is a PAC learning algorithm if it given enough data, for any target function, it asymptotically does as well as it possibly could given the ...

This is the update rule for AdaGrad: $$s_t=s_{t−1}+(g_t)^2$$ $$w_t=w_{t−1}−\frac{lr}{\sqrt{s_t+e}}∗g_t$$ Now, let's say we have a data set which has 90 non-sparse features (i.e. features which has ...

I'm studying the KNN algorithm and its application on R. If I correctly understood, KNN is a supervised algorithm able to classify an unlabeled item according to the predominant belonging class in the ...

I am working on building a recommender system. I want to build a similar item(non collaborative) recommender system. For example, on an e-commerce website, if I am looking at a mobile with 8GB ram, 16-...

I am writing a pretty standard CNN. I'm normalizing my inputs so that the lower value is 0 for each image (and the top value generally isn't higher than 1...). The first layer is a convolution and the ...

I'm trying to cluster tf-idf vectors based on their cosine similarity, as such, I was experimenting with taking a given vector, calculating the mean cosine similarity with other vectors in the cluster,...

This is my full mixed effects model: ...

In AdaGrad, the update equation is this: $$s_t = s_{t-1}*(G_t)^2$$ $$w_t = w_{t-1} *\frac{lr}{\sqrt{s_t+e}}*G_t$$ Where, $G_t$ is the gradient at time $t$ and $lr$ is the learing rate, and $e$ is to ...

I am learning about Trax for the implementation of GRU and LSTMs. Their documentation says that a GRU layer in Trax can only accept a number of hidden units equal to the number of elements in the ...

When I subtract these two arrays, it returns a (354,354) shaped array because as per the documentation there is a mismatch in the shape of the arrays. Why does it happen and what else can I do for ...

I'm working with a brushed DC motor current, voltage, calculated rotations and measured rotations and a couple of state signals(direction of rotation and the operation state). My objective is to ...

I have heard people saying that AdaGrad optimizer is best-suited with sparse features. But, why is that?

I'm, trying to estimate a fish weight by a time-sequence signal of the change in resistance when the fish goes through a gate with electrodes installed. When the fish pass through the gate there's a ...

I was learning about AdaGrad optimizer. I came to know that it has a functionality which is that it gives lower learning rates to the features that are more common and higher learning rates to the ...

Tensorflow: convert PrefetchDataset to BatchDataset With latest Tensorflow version 2.3.1I am trying to follow basic text classification example at: https://www.tensorflow.org/tutorials/keras/...

If there is good reason to believe that an independent variable (x) has a lagged effect on dependent ...

what's the geometric interpretation of the classifier? For example, what does the angle between $\theta$ and $x$ tell us about the predicted class value? For which angle will y=1? $$ h(x; \theta) = \...

I am following a real data science project on youtube and learning some new scripts and techniques to go around the data and extract insights. The teacher wants to check what are the products that are ...

I am unable to find morphological analyzers for English or Hindi. I am looking for a tool that can split the word into morphemeses e.g. Independently = In + dependent + ly

I have a question about when gradient descent doesn't converge. Problem solved. Thanks for the help

I was learning about Adagrad optimizer. I came to know that it has a very helpful functionality which is that we can have lower learning rates for the features that are more common and greater ...

Hi I'm try to figure this code out? and getting this error: the code supposed look like this I got the code from this website.

I use this code to mark the latitude and longitude of the vehicle with red points on the map: ...

I an building a feed forward deep learning model using tabular data. The inputs are numeric features or categorical features (represented with embeddings). The outputs are the same number of numeric ...

I would like to ask you, I’m new to Analytics after finishing my online Data Science Specialization. I got my first work project and I would like to do my best to make it great. My question is, If you ...

I have a recommendation system that recommends articles to different users. I am planning to provide the recommendations in an off-line fashion. Where I already have a table in BigQuery which has the ...

I am building a unit test suite for Spark jobs in PyTest, using this blog post as a starting point. I’ve made quite a few changes to it, but the Session creation is largely unchanged. The proof of ...

I'm looking for a python library that is good at finding sub-graphs in a 4-partite network. I call the layers i,j,k & l. In a nutshell, my use case would involve specifying one element in the 1st ...

I am doing an exercise on the iris dataset since i am completely new to machine learning. i would like to visualize the dataset in 2d with all six combinations (sepal width-sepal length) , (petal ...

Consider the following minimal VAE: ...

Recently I was trying to build a recommender system based on collaborative filtering, but my dataset is so big that I can't hold user-item matrix in my memory. I really want to avoid reducing the ...

I have a dataset with 24 variables, 21 of them numeric. As part of model building I decided to look into the correlation between features and so what I get is a large correlation matrix (21 * 21). Now ...

I am trying to start building a regression model using a big dataset. I understand data cleaning and preparation is a critical first step in any model building process. I am aware of all the steps to ...

Does the objective function for model fitting and the evaluation metric for validation need to be identical? For example, can an XGBoost model have an MSE objective function (reg:squarederror: ...

I am wondering if the Glorot Uniform kernel initializer is a random initializer for the Neural Networks weights. The Glorot Uniform is the default initializer used for the Dense layers in Keras.

Summary I'm starting a work on earthquake prediction using machine learning, what I want to do is input some fixed-length time series of accelerometer data recorded today and get prediction of the max ...