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Category: Data Science

Data Science news

Data Science Posted onApril 6, 2019

Statistical Thinking for Industrial Problem Solving (STIPS) – a free online course

Author: Gregory PS Editor This online course is available – for free – to anyone interested in building practical skills in using data to solve […] Read More

Data Science Posted onApril 5, 2019

Download your DATAx guide to AI in Marketing

Author: Matt Mayo Editor Find out how marketers can utilise AI, data segmentation, digital natives, influencers, apps and the internet to help build better, more […] Read More

Data Science Posted onApril 5, 2019

Is analytics a luxury only to Giants in the Financial Services?

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Data Science Posted onApril 5, 2019

Data Science Central Thursday Digest, April 4

Author: Vincent Granville This is our selection of featured articles, resources, and forum questions posted since Monday. Resources and Forum Questions Long-range Correlations in Time […] Read More

Data Science Posted onApril 4, 2019

Zero to Cohort Analysis in 60 Minutes

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Data Science Posted onApril 4, 2019

Top KDnuggets tweets, Mar 27 – Apr 02: Here is a great explanation of what is a scalar, vector, matrix, tensor

Author: Gregory PS Editor Here is a great explanation of what is a scalar, vector, matrix, tensor; Machine Learning and Data Science Cheat Sheets; Papers […] Read More

Data Science Posted onApril 4, 2019

Most Popular Content on DSC

Author: Vincent Granville We have been in existence for over 10 years now, with content in many different places, lists, categories, and databases. This is […] Read More

Data Science Posted onApril 3, 2019

Make better data-driven business decisions

Author: Matt Mayo Editor Prepare yourself, wherever you are, with a Master of Professional Studies in Data Analytics – Business Analytics option, offered online through […] Read More

Data Science Posted onApril 3, 2019

Stripe Data Science Interview

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Data Science Posted onApril 3, 2019

Alternatives to Logistic Regression

Author: Stephanie Glen Logistic regression (LR) models estimate the probability of a binary response, based on one or more predictor variables. Unlike linear regression models, […] Read More

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