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Published: 23/11/2017I have two sentences, S1 and S2, both which have a word count (usually) below 15. What are the most practically useful and successful (machine learning) algorithms, which are possibly easy to implemen ... Read moreSource: datascience.stackexchange.com


Published: 23/11/2017I am searching for scientific work on skipconnections . Everybody is talking about improving gradient flow through the Network, which feels like it makes sense. But I would love to understand and rea ... Read moreSource: datascience.stackexchange.com

Published: 23/11/2017I want to perform "reliable rule learning", i.e. mining a set of rules with a very low number of false negatives. I recently read the paper "Reliable agnostic learning" by Kalai et al. ( https://doi.o ... Read moreSource: datascience.stackexchange.com

Published: 23/11/2017I have a problem statement where I am trying to predict the number of customers who are going to make a purchase in the next month It's for my ecommerce site where we also run different events at dif ... Read moreSource: datascience.stackexchange.com

Published: 23/11/2017Are GANs  generative adversarial networks  good just for images, or could be used for text as well? Like, train a network to generate meaningful texts from a summary. UPD  quotes from the GAN inven ... Read moreSource: datascience.stackexchange.com

Published: 23/11/2017l'm wondering whther there is a difference bewteen Linear SVM and SVM with linear kernel. Or a linear SVM is just an SVM with linear kernel ? If so what this difference between the two variables linea ... Read moreSource: datascience.stackexchange.com

Published: 23/11/2017I am trying to find the cosine similarity (using glove vector) of two random words. As expected, the distribution of the similarity concentrated around 0 since it is reasonable to think that two rando ... Read moreSource: datascience.stackexchange.com

Published: 23/11/2017I'm wondering is there a standard procedure like a workflow for doing a project working with analyzing data?, I'm familiar with CRISPDM and SEMMA for Data Mining projects but was wondering if there a ... Read moreSource: datascience.stackexchange.com

Published: 23/11/2017One of the biggest problems in data management and data science is being able to obtain “good” data. You need to gather sufficient data from a substantial array of subjects who fit your study’s requir ... Read moreSource: www.datasciencecentral.com

Published: 23/11/2017I'm trying to train a single perceptron (1000 input units, 1 output, no hidden layers) on 64 randomly generated data points. I'm using Pytorch using the Adam optimizer: import torch from torch.autogra ... Read moreSource: datascience.stackexchange.com

Published: 22/11/2017Sample input dataset is: Sample output dataset what i want: 0 20171117 10:23:28.691 788 0 20171117 10:23:28.691 756 0 20171117 10:23:28.691 789 0 20171117 10:23:28.691 780 1 20171117 10:23:2 ... Read moreSource: datascience.stackexchange.com

Published: 22/11/2017I am training an email classifier from a dataset with separate columns for both the subject line and the content of the email itself. I've preprocessed the content column in such a way that the subje ... Read moreSource: datascience.stackexchange.com

Published: 22/11/2017I am trying to estimate the duration of failures. The data I have available will consist of previous failure durations and their type of failure. Let's say I have m different type of failures and n di ... Read moreSource: datascience.stackexchange.com

Published: 22/11/2017I am currently trying to learn about deep learning. I asked myself where deep learning outperforms SVM and Random Forest on regression? Do you have any dataset for regression where deep learning outpe ... Read moreSource: datascience.stackexchange.com

Published: 22/11/2017I'm studying about Sentiment analysis. What is the purpose of using Document Level, Sentence Level and Aspect Level? I read this definition in Web Data Mining book by Bing liu. In this book it was sta ... Read moreSource: datascience.stackexchange.com

Published: 22/11/2017I am a newbie in the field of AI/ML. I am trying to implement predictive analytics model on the data generated every minute from a device with sensors. I have two questions: What are various ML algori ... Read moreSource: datascience.stackexchange.com

Published: 22/11/2017At 280 pages, the report is too long to cover in detail, but we’ve pulled out the most salient points for you below. Main Points Banks will need to hire excellent data scientists who also understand h ... Read moreSource: www.datasciencecentral.com

Published: 22/11/2017I was using Dicekrigging in order to Bayesian optimization in R. While finding the acquisition function I got the specified error. I got stuck for many hours. Any kind of help is appreciated. library( ... Read moreSource: datascience.stackexchange.com

Published: 22/11/2017I have a matrix with size m×n that is built from n number of individuals for person identification. So, n is the number of person and m is the number of feature's value for the person. It makes me con ... Read moreSource: datascience.stackexchange.com

Published: 22/11/2017I am fairly new to both machine learning and sklearn so any advice would be appreciated. I have a dataset of around 10million rows and around 10 columns. I have missing data that occurs sporadically a ... Read moreSource: datascience.stackexchange.com

Published: 22/11/2017In recommenderlab you can get overall accuracy with calcPredictionAccuracy() QUESTION: how can i get accuracy by item prediction in the most easy way? e.g.: there are items which we got correct most o ... Read moreSource: datascience.stackexchange.com
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