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Vincent Granville's Blog (783)

Data Professional: Where Do You Fit In?

In one cool infographics, here are the results of a survey performed by Dataiku, to identify the four main types of production teams dealing with data. To get more insights and the survey report, click here.

infographic-production-survey.jpg

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Added by Vincent Granville on January 20, 2017 at 1:18pm — No Comments

13 Great Articles and Tutorials about Correlation

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…

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Added by Vincent Granville on January 18, 2017 at 6:00pm — No Comments

14 Great Articles and Tutorials on Clustering

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on DSC

14 Great…

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Added by Vincent Granville on January 17, 2017 at 8:51am — No Comments

Weekly Digest, January 16

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcement

  • Marketing Analytics and Data Science 2017April 3 - 5 2017, JW Marriott Union Square, San Francisco, CA.  -- Empower yourself to become more valuable in your…
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Added by Vincent Granville on January 14, 2017 at 9:00am — No Comments

Thursday News: AI, Recommenders, ML, Plagiarism Detection, Case Studies

Here is our new selection of featured articles and resources posted since Monday.

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Added by Vincent Granville on January 12, 2017 at 10:22am — No Comments

18 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. 

18 Great Blogs Posted in the last 12 Months…

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Added by Vincent Granville on January 9, 2017 at 4:38pm — No Comments

Ten Simple Rules for Effective Statistical Practice

By Kass RE, Caffo BS, Davidian M, Meng X-L, Yu B, Reid N. Originally posted here

Introduction

Several months ago, Phil Bourne, the initiator and frequent author of the wildly successful and incredibly useful “Ten Simple Rules” series, suggested that some statisticians put together a Ten Simple Rules article…

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Added by Vincent Granville on January 9, 2017 at 7:00am — No Comments

Weekly Digest, January 9

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcements…

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Added by Vincent Granville on January 7, 2017 at 1:00pm — No Comments

Thursday News: Data Science, AI, IoT, Deep Learning, Statistics, ML

Here is our selection of featured articles and resources posted since Monday. This is our first "Thursday News" of the year, and the quality of the articles submitted and accepted was especially high.

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Added by Vincent Granville on January 5, 2017 at 9:00am — No Comments

Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics

In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics. As data science is a broad discipline, I start by describing the different types of data scientists that one may encounter in any business setting: you might even discover that you are a data scientist yourself, without knowing it. As in any scientific…

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Added by Vincent Granville on January 2, 2017 at 8:30pm — 6 Comments

Weekly Digest, January 2

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Featured Resources and Technical Contributions

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Added by Vincent Granville on December 31, 2016 at 7:08am — No Comments

Thursday News: R, Naive Bayes, Regression, ML, AI, Data Science

Here is our selection of featured articles and resources published since Monday.

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Added by Vincent Granville on December 28, 2016 at 11:30am — No Comments

Weekly Digest, December 26

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcements

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Added by Vincent Granville on December 24, 2016 at 1:30am — No Comments

Thursday News: Data Science, Neural Nets, Machine Learning, Dark Data, Dataviz

Here is our selection of featured articles and resources posted since Monday:

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Added by Vincent Granville on December 22, 2016 at 4:00am — No Comments

Top 30 Data Science Articles of the Year

As we approach 2017, we have compiled a list of the most popular data science, machine learning, deep learning and related articles published on DSC in 2016. Many great articles have not been included yet as they are very recent, but I have no doubt that they will make it to the top when we will publish our 2017 selection. Also, click here to check out the best…

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Added by Vincent Granville on December 18, 2016 at 1:30pm — No Comments

Great list of resources: data science, visualization, machine learning, big data

Fantastic resource created by Andrea Motosi. I've only included the 5 categories that are the most relevant to our audience, though it has 31 categories total, including a few on distributed systems and Hadoop. Click here to view the 31 categories. You might also want to check our our our internal resources (the first section below).…

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Added by Vincent Granville on December 17, 2016 at 11:00pm — 1 Comment

A Beautiful Probability Theorem

We all know that, given two events A and B, the probability of the union A U B is given by the formula P(A U B) = P(A) + P(B) - P( AB) where AB represents the intersection of A and B. Most of us even know that

P(A U B U C) = P(A) + P(B) + P(C) - { P(AB) + P(AC) + P(BC) } + P(ABC)

In particular, if the events are independent, it becomes:

1 - P(A U B U C) = 1 - { P(A) + P(B) +…

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Added by Vincent Granville on December 17, 2016 at 1:00pm — 2 Comments

Weekly Digest, December 19

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.

Announcements

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Added by Vincent Granville on December 17, 2016 at 9:30am — No Comments

Thursday News: Data Science, AI, IoT, Deep Learning, Programming Languages

Here is our new selection of featured articles and resources, posted since Monday. Enjoy the reading! 

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Added by Vincent Granville on December 14, 2016 at 6:30pm — No Comments

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