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Vincent Granville's Blog – June 2018 Archive (17)

Weekly Digest, July 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 June 30, 2018 at 7:30am — No Comments

Bill Vorhies Retrospective: Part 5

Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001.

In this series consisting  of six…

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Added by Vincent Granville on June 29, 2018 at 5:30am — No Comments

Two More Math Problems: Continued Fractions, Nested Square Roots, Digits of Pi

These problems are for college undergrads after a first course in calculus. They are provided with solutions, and could be used by college professors as exercises or exam questions.

1. Digits of Pi/4

Prove that in base b, if b is an even integer, n > 3, and x = Pi/4, then the n-th digit of x, denoted as a(n), is given by the formula below. We start…

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Added by Vincent Granville on June 25, 2018 at 7:30pm — No Comments

Weekly Digest, June 25

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

  • Springboard provides you not only with the content that will help you get a data science job quickly, but also sets you up to be more impactful in the role that you land.…
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Added by Vincent Granville on June 24, 2018 at 3:00am — No Comments

Will the job outlook for data scientists severely decline after 2020?

Interested question posted on Quora recently. Here is my take on this.

Just put the next buzz word on your resume when you graduate, maybe AI engineer? I completed my PhD in computational statistics 25 years ago. It was in fact data science (image remote sensing), but under a different name. I changed my job title from statistician to data scientist many years ago, and I may dot it again if needed. There is more and more data to process, so the need will grow, but it will grow very…

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Added by Vincent Granville on June 21, 2018 at 12:30pm — No Comments

Thursday News: AI, Decision Trees, Feature Selection, World Cup Predictions, Data Science and Biology

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

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Added by Vincent Granville on June 21, 2018 at 8:14am — No Comments

Simple Solution to Feature Selection Problems

We discuss a new approach for selecting features from a large set of features, in an unsupervised machine learning framework. In supervised learning such as linear regression or supervised clustering, it is possible to test the predicting power of a set of features (also called independent variables by statisticians, or predictors) using metrics such as goodness of fit with the response (the dependent variable), for instance using the R-squared coefficient. This makes the process of feature…

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Added by Vincent Granville on June 20, 2018 at 5:00am — 2 Comments

Bill Vorhies Retrospective: Part 4

Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001.

In this series consisting  of six parts so far (and…

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Added by Vincent Granville on June 19, 2018 at 8:30pm — No Comments

Weekly Digest, June 18

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

  • In a live webinar on June 21 at 2PM CT, watch Anaconda Data Scientist Tom Augspurger demonstrate how dask enables analysis of large datasets in parallel, using all the cores…
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Added by Vincent Granville on June 16, 2018 at 6:30am — No Comments

Scale-Invariant Clustering and Regression

The impact of a change of scale, for instance using years instead of days as the unit of measurement for one variable in a clustering problem, can be dramatic. It can result in a totally different cluster structure. Frequently, this is not a desirable property, yet it is rarely mentioned in textbooks. I think all clustering software should state in their user guide, that the algorithm is sensitive to scale.

We illustrate the problem here, and propose a scale-invariant methodology for…

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Added by Vincent Granville on June 9, 2018 at 2:30pm — 1 Comment

Weekly Digest, June 11

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…

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Added by Vincent Granville on June 9, 2018 at 4:00am — No Comments

Thursday News: Deep Learning, IoT, R, Python, SQL, Hadoop, Time Series

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

Contributions

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Added by Vincent Granville on June 7, 2018 at 8:30am — No Comments

Bill Vorhies Retrospective: Part 3

Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001.

Bill Vorhies

In this…

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Added by Vincent Granville on June 5, 2018 at 8:51am — No Comments

Weekly Digest, June 4

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
  • Transform Data Into Something Meaningful. …
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Added by Vincent Granville on June 3, 2018 at 10:30am — No Comments

Free Book: Applied Stochastic Processes

Full title: Applied Stochastic Processes, Chaos Modeling, and Probabilistic Properties of Numeration Systems. An alternative title is Organized Chaos. Published June 2, 2018. Author: Vincent Granville, PhD. (104 pages, 16 chapters.)

This book is intended for professionals in data science, computer science, operations research, statistics, machine learning, big data, and mathematics. In 100 pages, it…

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Added by Vincent Granville on June 2, 2018 at 9:00am — 28 Comments

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