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Vincent Granville's Blog (1,327)

Data Science Central Thursday Digest, May 23

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

Technical Resources

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Added by Vincent Granville on May 23, 2019 at 10:30am — No Comments

29 Statistical Concepts Explained in Simple English - Part 13

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 May 21, 2019 at 5:30pm — No Comments

Data Science Central Monday Digest, May 20

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. To subscribe, follow this link.  

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Added by Vincent Granville on May 19, 2019 at 3:00pm — No Comments

A Beautiful Result in Probability Theory

This is another spectacular property of the exponential distribution, and also the first time an explicit formula is obtained for the variance of the range, besides the uniform distribution. It has important consequences, and the result is also useful in applications.

Theorem

The range R(n) associated with n independent random variables with an exponential distribution of parameter l…

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Added by Vincent Granville on May 19, 2019 at 6:30am — 1 Comment

Data Science Central Thursday Digest, May 16

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

Resources

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Added by Vincent Granville on May 16, 2019 at 12:00pm — No Comments

Free Book: Classification and Regression In a Weekend

By Ajit Jaokar and Dan Howarth. With contributions from Ayse Mutlu.

Exclusively for Data Science Central members, with free access. You can download this book (PDF) here

This tutorial began as a series of weekend workshops created by Ajit Jaokar and Dan Howarth. The idea was to work with a specific (longish) program such that we explore as much of it…

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Added by Vincent Granville on May 16, 2019 at 8:30am — No Comments

29 Statistical Concepts Explained in Simple English - Part 12

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 May 13, 2019 at 10:08pm — No Comments

Weekly Digest, May 13

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. To subscribe, follow this link.  

Announcements

  • Maximize…
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Added by Vincent Granville on May 12, 2019 at 2:00pm — No Comments

Data Science Central Thursday Digest, May 9

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

Resources

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Added by Vincent Granville on May 9, 2019 at 12:30pm — No Comments

Confidence Intervals Without Pain

We propose a simple model-free solution to compute any confidence interval and to extrapolate these intervals beyond the observations available in your data set. In addition we propose a mechanism  to sharpen the confidence intervals, to reduce their width by an order of magnitude. The methodology works with any estimator (mean, median, variance, quantile, correlation and so on) even when the data set violates the classical requirements necessary to make traditional statistical techniques…

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Added by Vincent Granville on May 6, 2019 at 9:30am — 1 Comment

Weekly Digest, May 6

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. To subscribe, follow this link.  

Announcements

  • Earn a…
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Added by Vincent Granville on May 5, 2019 at 10:00am — No Comments

Re-sampling: Amazing Results and Applications

This crash course features a new fundamental statistics theorem -- even more important than the central limit theorem -- and a new set of statistical rules and recipes. We discuss concepts related to determining the optimum sample size, the optimum k in k-fold cross-validation, bootstrapping, new re-sampling techniques, simulations, tests of hypotheses, confidence intervals, and statistical inference using a unified, robust, simple approach with easy formulas, efficient…

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Added by Vincent Granville on May 4, 2019 at 9:00am — 7 Comments

Data Science Central Thursday Digest, May 2

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

Resources

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Added by Vincent Granville on May 2, 2019 at 1:00pm — No Comments

25 Search Queries Featuring Hundreds of Categorized Articles and Resources

These 25 queries using our own data science search engine, return hundreds of articles and resources, sorted by popularity and recency. 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, …

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Added by Vincent Granville on May 2, 2019 at 5:00am — No Comments

Data Science Central Weekly Digest, April 29

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. To subscribe, follow this link.  

Announcement…

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Added by Vincent Granville on April 28, 2019 at 8:30am — No Comments

Data Science Central Thursday Digest, April 25

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

Resources

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Added by Vincent Granville on April 25, 2019 at 12:30pm — No Comments

Some Fun with Gentle Chaos, the Golden Ratio, and Stochastic Number Theory

So many fascinating and deep results have been written about the number (1 + SQRT(5)) / 2 and its related sequence - the Fibonacci numbers - that it would take years to read all of them. This number has been studied both for its applications (population growth, architecture) and its mathematical properties, for over 2,000 years. It is still a topic of active research.…

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Added by Vincent Granville on April 24, 2019 at 4:00pm — No Comments

Data Science Central Weekly Digest, April 22

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. To subscribe, follow this…

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Added by Vincent Granville on April 21, 2019 at 10:00am — No Comments

Data Science Central Thursday Digest, April 18

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

Resources

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Added by Vincent Granville on April 18, 2019 at 12:00pm — No Comments

34 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…

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Added by Vincent Granville on April 17, 2019 at 8:30am — No Comments

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