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Published: 11/12/2019I have two dataframes: self.thisSession_df: id exerciseId sets 1 1 12 2 1 14 2 2 15 2 2 15 self.exercises_df: id exerciseName 1 Squat 2 Pullup I would like to find a way to replace the exerciseId in s ... Read moreSource: datascience.stackexchange.com


Published: 11/12/2019i am working with Tensorflow version 1.14 and i would like to use the bert embedding. In order to do so, i was thinking to use the transformers library( https://pypi.org/project/transformers/ ) but i ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019I am going through the ddpg baseline code to try and gain an intuitive understanding of how the actor and critic networks function. DDPG has two components: the actor which is the deterministic policy ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019I am an R novice and having some difficulty. I was hoping R would be a good (flexible, easy) way to do machine learning of textual data. A few years ago, I wrote a naive Bayesian classifier (from scra ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019I am studying the policy gradient through the website: https://towardsdatascience.com/understandingactorcriticmethods931b97b6df3f Couldn't figure out how the first equation becomes the second equa ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019I am working on a project where I would like to predict whether an egg will break if it is put in a container that is then dropped on concrete. I am looking at the different factors that play a role i ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019I'm building a CNN to make a binary classification (1 or zero). For this, I'm using the cost function sigmoid_cross_entropy_with_logits . But for some reason, the cost using this function is never equ ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019after looking a lot in the literature there is really a lot of how to work with imbalanced dataset but so far I can not find a definition of a imbalanced metric that quantifies how much imbalanced is ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019For a scientific study that I'm currently working on, I will evaluate three different configurations (A  B  C). These configurations will be evaluated in a pairwise comparison fashion (AB, AC, BC ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019Let's assume we have a neural network detecting objects (e.g. YOLO). The network topology is built to detect 10 different object classes. But for now I don't know, which objects I potentially want to ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019Let's say that I wanted to use machine learning to find and redact personally identifying information (PII) from millions of records with open text fields. Let's also say the PII could include a wide ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019I'm learning how to do feature Engineering and come across some ideas in my head that's why I want to ask if I had some dataset with some features let's say 2 features and I have a timestamp column an ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019I am reading through the paper on Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review by Sergey Levine. The link to the paper is https://arxiv.org/pdf/1805.00909 . I am ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019I want to test a network with auxillary classifier (example: https://stackoverflow.com/questions/39352108/doestheinceptionmodelhavetwosoftmaxoutputs ). I am trying to create a simple net with a ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019I was wondering if there was a good paper out there that informs about model and data assumptions in AI/ML approaches. For example, if you look at Time Series Modelling (Estimation or Prediction) with ... Read moreSource: datascience.stackexchange.com

Published: 11/12/2019As said in the title, are stationarity and low autocorrelation the prerequisite of general / linear regression model ? That is, if a time series is nonstationary or has large autocorrelation, would i ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2019I am doing image classification and I have that the input images are all of different sizes, so I am trying to rescale them. The images are in a google drive folder called Train inside which are prese ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2019Does this line in Python indicate that KNN is weighted? clf = KNeighborsClassifier(n_neighbors=5, metric='euclidean', weights='distance') Are the weights the inverse of the distance? Can anyone also g ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2019I am a cs student currently working on Brain tumour segmentation using cascading of two UNet research project. I have researched over the internet about the cascading of CNN but I found nothing about ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2019I have a dataset of airfare price tickets that were scraped throughout a 6 month period where each observation represents a particular price for a specific flight on a specific date that it was scrape ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2019I am training image classification model using transfer learning and out of the box image classification model from Amazon SageMaker. My dataset consists of 120x120 images in 3 categories. 1240 images ... Read moreSource: datascience.stackexchange.com
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