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Vincent Granville's Blog – December 2015 Archive (14)

Weekly Digest, January 4

Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has 6 sections: (1) Featured Articles and Case Studies, (2) Featured Resources and Technical Contributions, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.

The full version is always published Monday.…

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Added by Vincent Granville on December 30, 2015 at 11:00am — No Comments

24 Uses of Statistical Modeling (Part II)

Check out Part I of this article for background information, and to discover the first 12 uses of statistical modeling. Here we list another 12 popular uses of statistical, data science, machine learning, optimization, graph theory, mathematical and operations research techniques.

13. Simulations

Monte-Carlo simulations are used in many contexts:…

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Added by Vincent Granville on December 26, 2015 at 8:00am — No Comments

Internet of Things: Selected Articles

IoT and data science are intertwined, as sensor data from wearables, transportation or healthcare systems, manufacturing and engineering, needs to be collected, refined, aggregated and processed by automated data science systems to deliver insights and value. Here we list of few popular articles related to IoT, published this year on IotCentral.io.…

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Added by Vincent Granville on December 23, 2015 at 10:00am — No Comments

Weekly Digest, December 28

Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has 6 sections: (1) Featured Articles and Case Studies, (2) Featured Resources and Technical Contributions, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.

The full version is always published Monday.…

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Added by Vincent Granville on December 23, 2015 at 9:30am — No Comments

12 Most Popular Data Science Articles in 2015

Each of these articles were viewed between 15,000 and 100,000 times, and were shared countless times. They were posted on Data Science Central in 2015. Later this month, we will publish our most popular, very recent articles.

Enjoy the reading!

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Added by Vincent Granville on December 22, 2015 at 9:36am — No Comments

Our Berkeley Data Science Capstone Project: Rap Analysis

Guest blog post by Tony Abraham, Nikhita Koul, Joe Morales. A data science exploration of rap lyrics and what it takes to make it onto the billboard charts. Originally posted here. The original version offers full-size, complete interactive Tableau graphics, as well as the hit prediction algorithm box, available as an API. …

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Added by Vincent Granville on December 18, 2015 at 12:00pm — No Comments

Weekly Digest, December 21

Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has 6 sections: (1) Featured Articles and Case Studies, (2) Featured Resources and Technical Contributions, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.

The full version is always published Monday.…

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Added by Vincent Granville on December 16, 2015 at 9:30am — No Comments

Architecture of Data Science Projects

In this article, I summarize the components of any data science / machine learning / statistical project, as well as the cross-dependencies between these components. This will give you a general idea of what a data science or other analytic project is about.

Components

1. Problem

This…

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Added by Vincent Granville on December 15, 2015 at 10:00am — 2 Comments

24 Uses of Statistical Modeling (Part I)

Here we discuss general applications of statistical models, whether they arise from data science, operations research, engineering, machine learning or statistics. We do not discuss specific algorithms such as decision trees, logistic regression, Bayesian modeling, Markov models, data reduction or feature selection. Instead, I discuss frameworks - each one using its own types of techniques and algorithms - to solve real life problems.   

Most of the entries below are found in…

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Added by Vincent Granville on December 14, 2015 at 10:00am — No Comments

Weekly Digest, December 14

Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has 6 sections: (1) Featured Articles and Case Studies, (2) Featured Resources and Technical Contributions, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.

The full version is always published Monday.…

Continue

Added by Vincent Granville on December 9, 2015 at 10:30am — No Comments

20 Big Data Repositories You Should Check Out

This is an interesting listing created by Bernard Marr. I would add the following great sources:

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Added by Vincent Granville on December 7, 2015 at 8:12pm — 2 Comments

49 Machine Learning Resources and Related Articles from Top Bloggers

Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically categorizing them using indexation and automated tagging…

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Added by Vincent Granville on December 6, 2015 at 8:46pm — No Comments

Weekly Digest, December 7

Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has 6 sections: (1) Featured Articles and Case Studies, (2) Featured Resources and Technical Contributions, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.

The full version is always published Monday.…

Continue

Added by Vincent Granville on December 2, 2015 at 10:00am — No Comments

What you won't learn in stats classes

There are many topics that you won't learn in statistics classes. Some such as U-Statistics, stochastic geometry, fractal compression, and stochastic differential equations, are for post-graduate people. So it is OK to not find them in statistics curricula. Others like computational complexity and L^1 metrics (to replace R-squared and other outlier-sensitive L^2 metrics such as traditional variance) should be included, in my opinion.

But the classic statistics curriculum is almost…

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Added by Vincent Granville on December 1, 2015 at 7:00am — No Comments

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