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Data Engineer and Business Analyst Might be the Best Data Science Opportunities

Summary: Not everyone wants to invest the time and money to become a data scientist, and if you’re mid-career the barriers are even higher.  If you still want to be deeply involved in the new data-driven economy and well paid, the growth rate and opportunities as a data engineer or business analyst need to be on your radar screen.

  …

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Added by William Vorhies on April 23, 2018 at 3:41pm — No Comments

How Data Scientists Spend their Time - Nice Cartoon

Data scientists spend 80% of their time preparing and cleaning their data. They spend the other 20% of their time complaining about preparing and cleaning their data.

This was posted by Kirk Borne on his Twitter account. Not sure who created the cartoon. Do we all spend 80% on our time on something, and the remaining 20% on something else? In my case, I spend 20% of my time writing articles (usually research articles that the layman can understand, and sometimes articles like…

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Added by Vincent Granville on April 22, 2018 at 4:00pm — No Comments

Two Questions to Ask to a PhD Candidate for a Leadership Role

These are not business questions, but soft questions that should make any PhD candidate relaxed, even intrigued, and open to talk freely. There is no wrong answer, these are open questions, but some answers could hint that the candidate is still in his/her PhD bubble, feeling superior, not flexible, and unable to see the big picture behind the apparently innocent question. These questions were asked discretely, none of the responders knew about my PhD mathematical background. …

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Added by Vincent Granville on April 21, 2018 at 3:30pm — No Comments

Weekly Digest, April 23

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
  • SQL + Notebooks + Charts. All in one platform. …
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Added by Vincent Granville on April 21, 2018 at 6:30am — No Comments

Four Great Pictures Illustrating Machine Learning Concepts

Four pictures were posted recently on Data Science Central, and have immediately become popular. They are designed as one-page tutorials on some specific (basic or advanced) topics. Click on the links below to find those related to the subjects that you are interested in. 

Four Great Pictures Illustrating Machine Learning Concepts

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Added by Vincent Granville on April 20, 2018 at 1:00pm — No Comments

CDOs Rise in the Ranks, Still Face Major Challenges

The chief data officer (CDO) is beginning to be recognized as the lynchpin for tackling one of the most important problems in enterprises today – leading the transformation to a data-driven culture. Often with a budget of less than $10M, one of the biggest challenges and opportunities for CDOs is making the self-service opportunity a reality by bringing corporate data…

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Added by Jay Bourland on April 20, 2018 at 6:00am — No Comments

The importance of Big Data in AI technologies

To say that AI is big data is to overstate things a bit. And yet, without big data, AI wouldn’t be where it is today. In the last few decades, the two technologies have advanced in lock-step. Largely because without big data, however clever the AI programmers were, they couldn’t get past the theoretical stage.

Mainly, this is down to what big data is used for. Through data, it is possible to train AI and thereby give them the opportunity to learn things. The more data is available,…

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Added by Alaine Gordon on April 20, 2018 at 12:00am — No Comments

Thursday News: Deep Learning, Issue with PhD Data Scientists, AI, ML, C++, R, Meta Data

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

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Added by Vincent Granville on April 19, 2018 at 9:30am — No Comments

Choosing Between Modern Data Warehouses



When our customers ask us what the best data warehouse is for their growing company, we consider the answer based on their specific needs. Usually, they need nearly real-time data for a low price without the need to maintain data…

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Added by Luba Belokon on April 19, 2018 at 5:30am — No Comments

Humans-in-the-Loop? Which Humans? Which Loop?

Background

For people working in Artificial Intelligence, the term “Human-in-the-Loop” is familiar i.e. a human in the process to validate and improve the AI. There are many situations where it applies, as many as there are AI applications. However. there are still some distinct different ways it can be deployed even within the same application.

Contact Center Example

Let’s take for example the automation of a contact center. A…

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Added by Dan Somers on April 19, 2018 at 5:30am — No Comments

Fractional Exponentials - Dataset to Benchmark Statistical Tests

I described here a strange type of function, that is nowhere continuous but relatively easy to integrate using probabilistic arguments. I call it the fractional part of parameter p of a function g(x), and it is denoted as g(x, p). We focus here on g(x) = exp(x). It is obtained by removing a number of terms (usually infinitely many) in the Taylor series of g(x). For instance, by removing all…

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Added by Vincent Granville on April 19, 2018 at 5:00am — No Comments

Five point-strategy to avoid analysis-paralysis

Analysis-paralysis - sounds familiar?  Almost, as if you are driving on ice, engine is loud, wheels are spinning - but you not really moving forward.

Here are strategies that may help you dealing with this serious data science condition:

  1. Realize that…
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Added by Goran Dragosavac on April 19, 2018 at 1:00am — No Comments

4 Ways to Create Interactive Data Visualization Story

Appropriate data, audience understanding & building a good story for meaningful & powerful visual dashboards that influence & engage the audience for actionable insights; is the key. Here is an infographic is about storytelling with visualization:

4 Ways to Create Unforgettable Data Visualization Story

Added by Chirag Shivalker on April 18, 2018 at 11:00pm — No Comments

Blockchain and Bigdata

Statistical Analysis is a way of collecting, presenting and exploring large amounts of data in order to discover underlying patterns and trends. It can be especially useful in banking, manufacturing or retail where knowing the future patterns might greatly benefit the businesses. Not…

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Added by James Mason on April 18, 2018 at 2:30pm — No Comments

Behind Social Media

As a provider of social networking services (social media) should filter out what data can be accessed by third parties. A sign "Like" for some people may not be so important, but do you know that based on that sign I can know who can be said to be influential (central person). It…

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Added by Jeefri A. Moka on April 18, 2018 at 8:30am — No Comments

Big Data’s Mathematical Mysteries

This article was posted by Ingrid Daubechies on Quanta Magazine. Ingrid is the James B. Duke Professor of Mathematics and Electrical and Computer Engineering at Duke University. She served as president of the International Mathematical Union from 2011 to 2014.

Machine learning works spectacularly well, but mathematicians aren’t quite sure why.…

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Added by Emmanuelle Rieuf on April 18, 2018 at 8:30am — No Comments

Deciphering information and misinformation: Inspired by the book "A Field Guide to Lies and Statistics"

They are in combat side-by-side, staring back at you like identical twins, one of them will help you and the other one will hurt you, who are they?

They are information and misinformation, writes neuroscientist Daniel Levitin in his book “A field guide to lies and statistics”.

But are these two really fighting on a level playing field? New research findings published in Science magazine show that things are much more serious than we might have thought.…

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Added by Tom Bransby on April 18, 2018 at 6:30am — No Comments

How to do Speech Recognition with Deep Learning

This article was posted by Adam Geitgey. Adam is Interested in computers and machine learning and he likes to write about it.

Speech recognition is invading our lives. It’s built into our phones, our game consoles and our smart watches. It’s even automating our homes. For just $50, you can get an Amazon Echo Dot — a magic box that…

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Added by Emmanuelle Rieuf on April 18, 2018 at 3:00am — No Comments

Transfer Learning –Deep Learning for Everyone

Summary: Deep Learning, based on deep neural nets is launching a thousand ventures but leaving tens of thousands behind.  Transfer Learning (TL), a method of reusing previously trained deep neural nets promises to make these applications available to everyone, even those with very little labeled data.

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Added by William Vorhies on April 17, 2018 at 12:25pm — No Comments

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