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All Discussions Tagged 'learning' (17)

Discussions Replies Latest Activity

What is BERT update (NLP)?

Natural language processing (NLP) is a branch of artificial intelligence designed to help machines. But how will BERT will be helpful for m…

Started by Rahul Dharia

0 Dec 30, 2019

Handling different length string features and prediction of these based on other features

Hi, I am currently working on a problem where the dataset contains 200+ features (Let's call them the code features, e.g no.of.loops, memo…

Started by Obaid Ur Rehman

1 Aug 3, 2019
Reply by Vincent Granville

How to analyze spatial data stored in a non-traditional format.

Hello DSC folks, I have some survey data that I'm trying to use for mapping, but I can't figure out a good way to actually map responses wi…

Started by Stephen Robinson

1 Jul 23, 2019
Reply by Justin Burruss

Measuring Accuracy for a Multiclass Classification Model

How do you measure accuracy for a multiclass classification algorithm?

Started by Aisha K

1 Oct 10, 2018
Reply by Vincent Granville

time serries hourly data plot

How to plot mulivarite data against hourly data in time series using python

Started by suhas jk

0 Oct 2, 2018

feature selection with auto-encoder

Hello  I'm beginner in deep learning and I want work with auto-encoder algorithm for feature selection in NSL-KDD data set, I search about…

Started by mahzad sharif

0 Jan 17, 2018

What's the best model for a history of timestamped events vs. a binary response?

I have three tables: A list of client ids For those clients, 3 years of timestamped inclusions/exclusions in a credit bureau blacklist For…

Started by Willian Razente

0 Jan 12, 2018

Is anybody aware of a large repository of open source ML algos?

I could have sworn that a while back on DSC, there was an article that pointed to a huge repository of ML algos somewhere. I seem to rememb…

Started by Bob Wakefield

1 Sep 10, 2017
Reply by Naveen Mathew Nathan S

BSTS prediction going off while making predictions

We are trying to forecast the quantity based on 5 years of monthly historical data. We used Bayesian model. It looks like our forecast is g…

Started by Keerthi Parvathi

0 Aug 9, 2017

New data science accommodating for IT revolution

In the early years of the 17th century questions were different. People looked for ways to understand nature in order to better handle it..…

Started by Edith Ohri

0 Jun 25, 2017

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