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September 2015 Blog Posts (118)

Data scientist Demographics: 2015 versus 2013 - How Things Changed (or Not)

Here we compare statistics about two well known top data science websites, 2015 vs. 2013. The 2013 data can be found here. Below are the same stats for these two web properties, as of today. From a methodology point of view, comparing two (or more) websites on two different time periods is much better than comparing just one website on…

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Added by L.V. on September 5, 2015 at 3:30pm — No Comments

Job interview questions for data scientists

Here's a selection from Udacity's website. Initially, I intended to post questions from Google or Microsoft hiring managers and recruiters, but you can find these questions by doing a Google search, or…

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Added by L.V. on September 5, 2015 at 12:00pm — No Comments

Phenomenalism and Unexplained Phenomena

Phenomenalism is sometimes described as a type of reductionism. Information about a complex object might be reduced to simple sensory details. For example, ignoring the many interesting features of the ice cream…

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Added by Don Philip Faithful on September 5, 2015 at 6:19am — No Comments

An e^πi-C Moment of Truth

   

    The internet, as part of the digital age, has forever changed the way we interact with the world. It has modified our perspective of everything that surround us. Now we have the ability to have immediate access to information, and as a result, we…

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Added by Jose Bautista on September 4, 2015 at 11:00am — No Comments

Can Big Data Algorithms Tell Better Stories Than Humans?

What if the computer algorithms could tell more compelling stories than journalists, writers or business analysts? Well, this is increasingly becoming a reality. A new generation of Big Data tools are being put to automate story telling.

Source for picture: …

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Added by Bernard Marr on September 3, 2015 at 8:30pm — 1 Comment

Big Data: Too Many Answers, Not Enough Questions

One of my favorite examples of why so many big data projects fail comes from a book that was written decades before “big data” was even conceived. In Douglas Adams’ The Hitchhiker’s Guide to the Galaxy, a race of creatures build a supercomputer to calculate the meaning of “life, the universe, and everything.” After hundreds of years of processing, the computer announces that the answer is “42.” When the beings protest, the computer calmly suggests that now they…

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Added by Bernard Marr on September 3, 2015 at 8:30pm — No Comments

22 easy-to-fix worst mistakes for data scientists

And for software engineers or data analysts as well, in random order:

The list:

  1. Not being able to work well in a team
  2. Being elitist
  3. Using jargon that stakeholders don't understand
  4. Being perfectionist: perfection is always associated with negative ROI, in the business world: 20% of your…
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Added by L.V. on September 3, 2015 at 3:30pm — 2 Comments

Training Neural Networks: Q&A with Ian Goodfellow, Google

Neural networks require considerable time and computational firepower to train. Previously, researchers believed that neural networks were costly to train because gradient descent slows down near local minima or saddle points. At the RE.WORK Deep…

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Added by Sophie Curtis on September 3, 2015 at 8:59am — No Comments

The Business Translator - The Missing Link to Make Data Science Projects Stick

Why aren’t models and insights generated by many Data Science projects an instant hit with companies looking for data driven growth? They miss the Business Translator, an important role that nobody is currently recruiting for. Read on to learn about my proposal on how to make Data Science projects stick at your company and build an enduring business…

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Added by MARIUS MARCU on September 3, 2015 at 8:00am — No Comments

Weekly Digest, September 7

The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday. The picture of the week is from the contribution marked with a +, where you will find the details.

Announcements

  • The time for superficial online marketing conferences is over - We go deep with DATA DRIVEN BUSINESS! Featuring…
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Added by Vincent Granville on September 2, 2015 at 10:00am — No Comments

Why Big Data Isn't Necessarily Better Data

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Added by William Vorhies on September 2, 2015 at 8:09am — No Comments

The Dark Side of Big Data

Ashley Madison, IRS, Target, Sony…What do they have in common? Here we only name a few but of the most tremendous crisis of data breach in recent years - yes, it is happening and it is happening everywhere. The cost of data breach comes to a new high at $154 per record of stolen or leaked data, adding up to millions of data for each incident, including the law suits,…

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Added by Yuanjen Chen on September 1, 2015 at 9:00pm — 1 Comment

Data Science with Python & R: Dimensionality Reduction and Clustering

This tutorial was authored by Jose A Dianes, PhD.


Introduction

An important step in data analysis is data exploration and representation. In this tutorial we will see how by combining a technique called Principal Component Analysis (PCA) together with Cluster…

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Added by Codementor on September 1, 2015 at 4:32pm — No Comments

Bernoulli trials - binomial experiment's usage in Fraud Detection

Guest blog post by .

One of the best books that I started to read in recent times is "Numbers Rule your World" by Kaiser Fung. The book talks about the use of Statistical Methods used in daily life for decisions to be made that affect living & businesses. The book has numerous case studies where Statistics is…

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Added by Vincent Granville on September 1, 2015 at 4:30pm — No Comments

Data visualization

Data visualization is what attracts at first sight is what properly should help affirm what text and numerical results say (Anscombe's quartet). It is important because otherwise it may bring confusion. 

For some time I was looking for information on the subject and I must say it is abundant. From a beautiful historical data …

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Added by Genaro Rodriguez Hoyos on September 1, 2015 at 1:00pm — No Comments

How Clean Is Your Data?

Does your database contain dirty data? Now, before anyone starts to get flustered and thinks that we're referring to stuff like "Sleazy Internet Gals and Guys" (dot com!!), rest assured, that's not the case. For that matter, we're also not referring to data that takes bribes, been dragged through a septic tank, or is a nuclear bomb designed to spread the maximum amount of lethal radiation possible.

What we're actually talking about here is data that is out of date and flat-out wrong,…

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Added by Stephen Jeske on September 1, 2015 at 5:13am — No Comments

Data analysis: Benefits and challenges for small and medium businesses

In this time and age of information overload it’s important for businesses to remain abreast of market dynamics, understand consumer behavior, and take decisions accordingly. More information is available about user behavior than ever before, and businesses haven’t had an equally great opportunity to take informed decisions based on hard-core data. This is why the enormous amount of data available makes data analysis an indispensable tool for growing businesses.

Gone are the days when…

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Added by Kolabtree on September 1, 2015 at 1:30am — No Comments

Got a DMP coming in? Pick up your underwear

If you’re like me, and have succumbed to the unpardonably bourgeois luxury of hiring a cleaner, then you may also have found yourself running around your house before the cleaner comes, picking up stray items of laundry and…

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Added by Ian Thomas on September 1, 2015 at 1:00am — No Comments

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