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August 2015 Blog Posts (94)

Five Critical Words When Searching for Data Prep Tools

This is a guest blog from David Lefkowich, VP Sales and Marketing for FreeSight Software

I have yet to find an organization that doesn’t have occasional or consistent data quality concerns.  Some concerns are innocuous inconveniences; but others can…


Added by William Vorhies on August 12, 2015 at 6:30am — No Comments

What Will They Call Us in 10 Years?

Summary:  Data Scientist may be a prestigious title but it doesn’t reflect our area of specialization or the depth of our experience.  As legions of newly minted Data Scientists are granted degrees over the next few years the problem for both employee and employer will only grow worse.

With the explosion in undergraduate and graduate level offerings in data…


Added by William Vorhies on August 11, 2015 at 8:55am — 2 Comments

A Simple Introduction to Data Science

When you hear the term data scientist, what do you think of? If you’re like most people, you might think of something incredibly complex, with statistical terms and programming languages that are beyond comprehension. You might think that only PhD’s in computer science can do data science.

But if you peel back the layers, you’ll find that this isn’t the case. Data science, coined by DJ Patil who is now the…


Added by Divya Parmar on August 11, 2015 at 8:46am — 2 Comments

Data Science: Uber for Law.



In my final year of Law School I did a Practical Legal studies course, it is compulsory at the University  that I attended and students are…


Added by Mkhuseli Mthukwane on August 11, 2015 at 8:30am — No Comments

Tutorial: How to establish quality and correctness of classification models? Part 5 – Lift curve

In this last part of the tutorial we will discuss the LIFT curve.

Definition and types of lift curves

A lift chart pictures gains from applying a classification model in comparison to not applying it (i.e. using a random classifier) for a given section of data.

Two simple examples are shown below.…


Added by Algolytics on August 11, 2015 at 1:00am — No Comments

Big-data tips for small businesses from eBay’s head of data

Zoher Karu is Vice President of Global Customer Optimization and Data at eBay, where he works to use data, analytics, and insights to drive growth across all customer interactions, with…


Added by William Vorhies on August 10, 2015 at 2:43pm — No Comments

Cloud Services: Open Source vs. Proprietary

Open source and proprietary cloud services both aim to provide end-users with reliable software. Some users prefer the backing of a large company like Amazon or Microsoft, with a tailored list of compatible programs and services. Others prefer the interoperability and flexibility of open source alternatives like OpenStack or Eucalyptus. It's not necessarily an issue of right or wrong, for some people open source software is the obvious choice. Those who want more managed solutions…


Added by David Schwartz on August 10, 2015 at 7:07am — No Comments

10 Companies Looking to Hire Deep Learning Experts

1) NJF Global Holdings (Hedge Fund) - Hiring for about 7 Positions in New York City


NJF Global Holdings Is one of the leading Quantitative Hedge Funds in the world that applies a fully systematic approach to investing across global financial markets. The firm’s investment approach uses statistical and machine / deep…


Added by Vozag on August 10, 2015 at 2:48am — No Comments

38 Seminal Articles Every Data Scientist Should Read

Here is selection containing both external and internal papers, focusing on various technical aspects of data science and big data. Feel free to add your favorites.

Complex Open Text Analysis: Source: …


Added by Mirko Krivanek on August 9, 2015 at 8:30am — 1 Comment

Semantic Data Modeling For Fun and Profit

Data modeling is usually one of those subjects that make people's eyes glaze over. It's not really programming, though understanding programming concepts such as objects, inheritance, polymorphism and similar multisyllabic words is usually helpful to do modeling. It's not a business analyst function, though most BAs end up participating in the modeling process. Perhaps the best way of thinking about modeling is to see it as a way to describe a business in clearly defined pieces.



Added by Kurt Cagle on August 8, 2015 at 2:30pm — No Comments

Good Friday Reading

Here is a selection of articles featured today. Also, we have two new webinars / workshops announcements.

Webinars / Workshops

Featured Articles

  • 11 Awesome Data Visualizations Way…

Added by Vincent Granville on August 7, 2015 at 10:15am — No Comments

The Career Opportunity in Banking Data Scientists Can’t Afford To Miss

When people in the financial services sector talk about “the bank of the future,” they often focus on the external things. In a few years from now, for example, bank branches may look completely different than they do today, equipped with many more touchscreens and sensors within furniture connected to the Internet of…


Added by Sudhanshu Ahuja on August 7, 2015 at 8:57am — No Comments

Predictive Analytics and Data Science: Same or Different?

Here's a different angle on a much analyzed question at the heart of our professional activities.  In this article, Steve Miller of Inquidia tackles how NoSQL has changed our traditional understanding of Predictive Analytics and Data Science.  You might also look back at our previous post How NoSQL Fundamentally Changed Machine Learning.

Here's the beginning…


Added by William Vorhies on August 7, 2015 at 7:11am — No Comments

Machine Learning in Javascript- A compilation of Resources

One of the beauties of running Javascript related applications is you don’t need to install any client side software, optimize servers and spend tons of time on the core infrastructure. Javascript just work outs of the core browser. In that spirit, there is a lot of increasing momentum on building Machine Learning in Javascript. We have collected a list of resources on Javascript…


Added by Vozag on August 6, 2015 at 9:30pm — No Comments

18 Open Source NoSQL Databases

Interesting article posted here. I've listed some of the most popular below. To find out about those not listed here (Redis, REVENDB, Riak, Perst, Voldemort, Terrastore, NeoDatis, MyOODB, OrientDB, InfoGrid, DB4objects), read the original article.…


Added by Mirko Krivanek on August 6, 2015 at 2:30pm — No Comments

Data Science has a Terminology Problem

Having thoroughly enjoyed the debate around Bernard Marr's post, Why so many fake data scientists?, it occurred to me that "data scientist" is not the only problematic term in our industry. Many of the most common data-related terms and concepts are also ambiguous or poorly-defined.

Here are some of the terms that cause me frustration.…


Added by Max Galka on August 6, 2015 at 9:16am — 2 Comments

The 10 best cities to find a big data job

It’s no surprise that Silicon Valley and the Washington, D.C. metro area are consistently the two biggest cities for finding big data jobs; tech startups drive the demand in California, while the U.S. government is the single biggest tech employer around.

Source for picture: …


Added by Bernard Marr on August 6, 2015 at 9:00am — 5 Comments

11 Awesome Data Visualizations Way Ahead of Their Time [Infographic]

Guest blog sent by Veronica Johnson at

see the original here

In this day and age of big data and information overload, data visualizations are, hands down, the most effective way of filtering out and presenting complex data.



Added by William Vorhies on August 6, 2015 at 7:39am — 3 Comments

Weekly Digest, August 10

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.


  • Harness the business power of big data. Earn your PhD Management & Decision Sciences in convenient online…

Added by Vincent Granville on August 5, 2015 at 1:00pm — No Comments

Top 5 Trends in Big Data Analytics

While many of us recognize that companies are empowered by actionable information penetrations and help drive sales, devotion and superior customer experiences, the thought of making sense of enormous quantities of information and undertaking the task of unifying is daunting. But that is slowly changing. Experts forecast that this year, budgets will be allocated by most companies, and that 2015 will undoubtedly be the year of big data and discover the best tools and resources to really…


Added by Ayush Sharma on August 5, 2015 at 11:51am — No Comments

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