My views on anything

One of the most coolest animal pictures I've ever seen was in the +American Museum…

One of the most coolest animal pictures I've ever seen was in the +American Museum…

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One of the most coolest animal pictures I've ever seen was in the +American Museum of Natural History by John Sparks about the Madagascar cichlid using different dyes. Proper art this is if you ask me! 

Madagascar cichlid (Paretroplus polyactis)
Associate Curator in the Museum’s Division of Vertebrate Zoology John Sparks, an ichthyologist, highlights details of cichlids and other small fish using biological dyes. © AMNHJ. Sparks

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So if you ban scientist from doing the, according to them, most accurate way of predictions by introducing a ban on exponential models this helps society in what way?! Since when are law makers capable to determine what the best models for scientist should be? Research from the US Geological Survey (USGS) shows that sea levels are rising much faster between North Carolina and Massachusetts than anywhere else in the world

So if you ban scientist from doing the, according to them, most accurate way of predictions by introducing a ban on exponential models this helps society in what way?! Since when are law makers capable to determine what the best models for scientist should be? Research from the US Geological Survey (USGS) shows that sea levels are rising much faster between North Carolina and Massachusetts than anywhere else in the world

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Originally shared by +Nature News & Comment

Research from the US Geological Survey (USGS) shows that sea levels are rising much faster between North Carolina and Massachusetts than anywhere else in the world. The news comes less than two weeks after North Carolina's Senate passed a bill banning state agencies from reporting predictions of increasing rates of sea-level rise.

US northeast coast is hotspot for rising sea levels
Report comes after North Carolina senate proposes bill to ban predictions of increase in rates of sea-level rise.

So if you ban scientist from doing the, according to them, most accurate way of predictions…

So if you ban scientist from doing the, according to them, most accurate way of predictions…

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So if you ban scientist from doing the, according to them, most accurate way of predictions by introducing a ban on exponential models this helps society in what way?! Since when are law makers capable to determine what the best models for scientist should be? 

Reshared post from +Nature News & Comment

Research from the US Geological Survey (USGS) shows that sea levels are rising much faster between North Carolina and Massachusetts than anywhere else in the world. The news comes less than two weeks after North Carolina's Senate passed a bill banning state agencies from reporting predictions of increasing rates of sea-level rise.

US northeast coast is hotspot for rising sea levels
Report comes after North Carolina senate proposes bill to ban predictions of increase in rates of sea-level rise.

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A Science paper about facebook network dynamics… let's take a look at their abstract

A Science paper about facebook network dynamics… let's take a look at their abstract

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Kinda cool study about facebook influence dynamics!

Originally shared by +Christopher VanLang

A Science paper about facebook network dynamics… let's take a look at their abstract.

"Estimation in a representative sample of 1.3 million Facebook users showed that younger users are more susceptible than older users, men are more influential than women, women influence men more than they influence other women, and married individuals are the least susceptible to influence in the decision to adopt the product we studied".

Yup. Reading techcrunch on a daily basis could have told you this. However, their method of testing using "in vivio randomized" experiments isn't a bad idea and probably does a good job of testing their "influentials" hypothesis. Essentially a random set of people were sent a message to repost a like. As expected, influential people will share the post and the post would spread though their influential friends acting as nodes. Nothing really surprising but a nice way to statistically validate that hypothesis.

[Report] Identifying Influential and Susceptible Members of Social Networks
A randomized experiment based on product adoption among Facebook friends identified trend setters and followers. Authors: Sinan Aral, Dylan Walker

Kinda cool study about facebook influence dynamics! 

Kinda cool study about facebook influence dynamics! 

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Kinda cool study about facebook influence dynamics! 

Reshared post from +Christopher VanLang

A Science paper about facebook network dynamics… let's take a look at their abstract.

"Estimation in a representative sample of 1.3 million Facebook users showed that younger users are more susceptible than older users, men are more influential than women, women influence men more than they influence other women, and married individuals are the least susceptible to influence in the decision to adopt the product we studied".

Yup. Reading techcrunch on a daily basis could have told you this. However, their method of testing using "in vivio randomized" experiments isn't a bad idea and probably does a good job of testing their "influentials" hypothesis. Essentially a random set of people were sent a message to repost a like. As expected, influential people will share the post and the post would spread though their influential friends acting as nodes. Nothing really surprising but a nice way to statistically validate that hypothesis.

Embedded Link

[Report] Identifying Influential and Susceptible Members of Social Networks
A randomized experiment based on product adoption among Facebook friends identified trend setters and followers. Authors: Sinan Aral, Dylan Walker

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About me

I am a Lead Data Scientist at Microsoft in the World-Wide Data Insights CTO office focusing on cloud solutions for the Internet-of-Things, Big Data, Deep Learning, and Machine Learning. I obtained my PhD at the University of Cambridge specialising in Big Data Biology while being based at the European Bioinformatics Institute (EBI) and the European Molecular Biology Laboratory (EMBL).

In my previous "academic life", I was working in Ewan Birney's research group. My main subject was understanding non-coding variation using genome-wide molecular assays, like FAIRE and CTCF, onto Human cell line populations. Another research interest was identification of whole-body phenotypes in Human MRI scans using Machine Learning techniques.

Furthermore, I'm the co-founder of Rijschoolvergelijker. The largest driving school comparison website in the Netherlands with European ambitions.

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