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Published: 10/12/2018I want to use a Radial Basis Function Neural Networks for my thesis. Is there any library that implements it? And in the negative case, which is the best library to implement it? Thank you for the ans ... Read moreSource: datascience.stackexchange.com


Published: 10/12/2018I am trying Catboost package with iris dataset with following code: from sklearn.datasets import load_iris iris = load_iris() from catboost import CatBoostClassifier model = CatBoostClassifier(iterati ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018How can I solve this problem. Model predicts variability well but has a big underestimating Edit 1: I can not give data, sorry. Model: model = Sequential() model.add(Bidirectional(LSTM(8, return_seque ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018I'm trying to predict the future states of a 1D travelling wave (square, triangle and sawtooth) using a deep learning setup in Keras. The waves are discretised in a 1024 data points. As this gives a q ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018I have a dataset(6.18 MB in size, having around 99599 rows).I am doing volume timeseries forecast with it.The input parametrs are the S&P index values and historic volume .To check the best parame ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018I have a dataset(6.18 MB in size, having around 99599 rows).I am doing volume timeseries forecast with it.The input parametrs are the S&P index values and historic volume .To check the best parame ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018I have anonymus date (with unknown variable names) X (the amount of data is very large). The task is to predict the class, which is only 5. The main problem is that Spirman’s correlation coefficient i ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018I'm working with a model that involves 3 stages of 'nesting' of models in Keras. Conceptually the first is a transfer learning CNN model, for example MobileNetV2. (Model 1) This is then wrapped by a m ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018Someone sent me a question regarding the inverseWishart prior distribution for covariance matrix, as it is the default in some software he was using. InverseWishart does not make sense for prior dis ... Read moreSource: andrewgelman.com

Published: 10/12/2018I want to make an application that is able to look at historical patient data collected through another app and find the best time to prompt a patient to take their medication, using machine learning? ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018I am using NER from spacy. Its giving incorrect results for few words. Its trained on general dataset. How can I customize on my local data. For example, Person  {'Mike Miller', 'Miller', 'Infantino' ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018For my masters, I'm comparing different approaches to solve a problem (like image segmentation). I'm comparing machine learning and deep learning approaches to «classical» algorithms (like simple or a ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018Categories Regression Models Tags ggplot2 Machine Learning Prediction R Programming In this post, the failure pressure will be predicted for a pipeline containing a defect based solely on burst test r ... Read moreSource: datascienceplus.com

Published: 10/12/2018I am learning how to implement Keras LSTM on a simple time series data. The dataset I'm using has $12$ columns and $300k$ rows. Each group of $200$ rows represents one timeseries cycle. Then, the tim ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018You’re reading Significant Digits, a daily digest of the numbers tucked inside the news. 330 feet long and 200 feet across Despite the internet and Wikipedia and satellites and ubiquitous smartphones ... Read moreSource: fivethirtyeight.com

Published: 10/12/2018So say you have some data that consists of some values: 1.3, 0.9, 1.1 You introduce a new feature which is the average of these values: 3.3 In this example lets say that you know the average of these ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018If the American president has a superpower, it might be the ability to grant pardons. With the stroke of a pen, the president can wipe away the consequences of a federal criminal conviction, without h ... Read moreSource: fivethirtyeight.com

Published: 10/12/2018I have a scenario where I have to identify employees, who when take sick or any other paid leave his/her colleague (any other employee) gets overtime. My data set is as follows: employee_codeperio ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018Let’s say I have training data tagged/labelled like this: 1. My interest is <interest>Physics</interest> and I am <age>12<age> years old. I live in <residence> Paris < ... Read moreSource: datascience.stackexchange.com

Published: 10/12/2018I am trying to find a way to calculate an aggregate score between 0100 for multiple scores coming from a machine learning logistic regression algorithm. For example, if I have 3 scores: 20, 50 and 60 ... Read moreSource: datascience.stackexchange.com

Published: 9/12/2018Below are a few integrals that you won't find in textbooks. Solving them is a good exercise for college students with some advanced calculus training. We provide the solution, as well as a general fra ... Read moreSource: www.datasciencecentral.com
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