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Vincent Granville's Blog – March 2018 Archive (21)

Stochastic Processes and New Tests of Randomness - Application to Cool Number Theory Problem

This article is intended for practitioners who might not necessarily be statisticians or statistically-savvy. The mathematical level is kept as simple as possible, yet I present an original, simple approach to test for randomness, with an interesting application to illustrate the methodology. This material is not something usually discussed in textbooks or classrooms (even for statistical students), offering a fresh perspective, and out-of-the-box tools that are useful in many contexts, as…

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Added by Vincent Granville on March 31, 2018 at 10:00am — 6 Comments

Thursday News: AI, ML, GDPR, Data Fallacies, Event Analytics, Fake News, Soccer

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

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Added by Vincent Granville on March 29, 2018 at 6:00am — No Comments

13 Great Articles About K-Nearest-Neighbors And Related Algorithms

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting,…

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Added by Vincent Granville on March 27, 2018 at 11:30am — No Comments

First Doctorship in Data Science

You may even call it post-doctorship, as the level is beyond the traditional PhD degree. It is not a degree, not competing with university programs, but instead, akin to a fellowship or apprenticeship to learn doing state-of-the-art applied research, discover ground-breaking results or applications, and translate your discoveries into seminal material suitable for a broad audience. It is intended for professionals with substantial experience, perhaps to people who already have a PhD in a…

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Added by Vincent Granville on March 24, 2018 at 10:30am — 34 Comments

Weekly Digest, March 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

  • Have you secured your spot at …
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Added by Vincent Granville on March 24, 2018 at 8:00am — No Comments

Two Beautiful Mathematical Results

These results are relatively easy to prove (first year college-level calculus needed) and could be a good test to refresh your math skills. We posted another simple one (with a probabilistic / number theory flavor) a while back, see here.…

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Added by Vincent Granville on March 22, 2018 at 9:30am — 1 Comment

Thursday News: Deep Learning, IoT, ML, Blockchain, Chatbots, NLP, Neural Nets

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

Upcoming DSC Webinars

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Added by Vincent Granville on March 22, 2018 at 7:30am — No Comments

Weekly Digest, March 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.

Announcement

  • IBM predicts that the demand for data scientists will soar 28% by 2020. Take advantage of this opportunity and enhance your skill set…
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Added by Vincent Granville on March 18, 2018 at 9:00am — No Comments

Thursday News: AI, ML, Python, Neural Networks, Stochastic Processes

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

Resources and Technical Contributions

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Added by Vincent Granville on March 15, 2018 at 8:41am — No Comments

A Simple Introduction to Complex Stochastic Processes - Part 2

In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a simple approach that can be understood by people with no statistics background other than a first course such as stats 101. I defined and illustrated the continuous Brownian motion (the mother of all…

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Added by Vincent Granville on March 15, 2018 at 6:00am — 4 Comments

18 Great Articles About Predictive Analytics

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting,…

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Added by Vincent Granville on March 13, 2018 at 5:30pm — No Comments

Selected Recent Articles from Top DSC Contributors - Part 7

This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written in simple English. The entire series consists of about 120 articles. We intend to publish a new set every two weeks or so. Click here to check out the…

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Added by Vincent Granville on March 12, 2018 at 6:32pm — No Comments

Weekly Digest, March 12

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 March 10, 2018 at 9:00am — No Comments

Reading List for Data Scientists

Here are some recommended books for data science practitioners, covering machine learning, deep learning, business intelligence, forecasting, text analytics and much more.

Book Repository for Data Scientists

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Added by Vincent Granville on March 9, 2018 at 4:00pm — No Comments

5 Myths About PhD Data Scientists

Myth #1: You can only do research in an academic setting. Not true. There are plenty of research labs owned by big and small companies and organizations, including government, as well as abroad. In my case, I own and manage my self-funded research lab, publishing in my own niche media outlets (see …

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Added by Vincent Granville on March 8, 2018 at 8:00am — 4 Comments

Interesting Application of the Zipf Distribution: Data Purging

The Zipf distribution is used to model situations in which a few observations have a very high value (or impact) and account for a large part of the total, while a very long tail of observations have medium, small, or very small values. A bit like …

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

27 Great Resources About Logistic Regression

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz,…

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Added by Vincent Granville on March 4, 2018 at 5:00pm — 4 Comments

Weekly Digest, March 5

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
  • Enhance your data analysis skills with an online degree from Penn State World Campus. Our programs focus on data and data management. Learn to collect,…
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Added by Vincent Granville on March 4, 2018 at 8:00am — No Comments

15 Amazing Infographics and Other Visual Tutorials

They come in various shapes: infographics, cheat sheets, periodic tables, one-picture articles, and even maps. They cover everything: IoT, AI, machine learning, data science, deep learning, Hadoop, Python, R, dataviz, statistical theory, big data - you name it. Below is a selection that is most relevant to our readers. 

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees,…

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Added by Vincent Granville on March 2, 2018 at 10:00am — 1 Comment

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