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Featured Blog Posts – April 2015 Archive (71)

Ten General Principles in Data Mining/Science

Through years, working with different clients and applications, I have found a set of data mining general principles that also hold through in the context of big data.  These are all listed in my book. Here I enumerate them using the terminology I have used in the book:
  1. Use of “all the data” is not equivalent to building the deepest Analytics Dataset (ADS) in terms of…
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Added by Khosrow Hassibi on April 3, 2015 at 9:30am — 1 Comment

1,000 New Functions for Your Spreadsheet

We are excited to announce that all 1000+ functions on Blockspring can now be run from your spreadsheet.

You'll be able to create interactive data visualizations, run algorithms, pull data from the web, automate tweets and emails, call APIs, and more. In a nutshell, you get the full power of programming from the comfort of a spreadsheet.

To get started, install the …

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Added by Paul Katsen on April 2, 2015 at 9:00pm — No Comments

What Technology & Tool Skills Do Data Scientists Jobs Require?

People often ask “What technology & tool skills do I need to develop to be a data scientist?”. We decided to go straight to the source of job descriptions & check what requirements are being asked for while people hire data scientists. We analyzed about 1660 job postings which had “Data Scientists” in the job title and decided to further search for specific technology & tools skills that are required in those job descriptions.

Our first analysis involved understanding what…

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Added by Gridlex on April 2, 2015 at 7:45pm — 1 Comment

Participate in 2015 Data Science / Data Miner Survey

All analytic professionals, students and academics - Participate in the 2015 Data Science / Data Miner Survey.  

Access Code:  H7D3S9   —  It is OK to share this Access Code with others:  It can be used by multiple people.



Survey results will be unveiled at the Fall-2015 Boston Predictive…
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Added by Karl Rexer on April 2, 2015 at 9:00am — No Comments

Ideal Qualifications – Govt. Data Scientist (DS)

An ideal DS must have broad business acumen, corporate expertise, know-how of corporate and government culture, a feel of the fluctuating government political climate and its low(s) & high(s), Popular Industry KPI(s), well versed in the area of large scale multi-million $ budgets,

Knowledgeable in the areas of Advanced Mathematics, Law, Econometrics and Finance, Software Development experience using Java, Python and C; Database experience should…

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Added by Riazul Hasan on April 2, 2015 at 8:00am — No Comments

Big Data: From a junk yard to a gold mine

Let's get over the hype. Unless you are a data driven giant like Amazon or Yahoo, there is no need to spend millions to dig and fill a big data lake. You might be better off with data junk yard strategy. It will let you start early and cheap so you don’t miss the big data bus. It may not sound impressive but play it right and a junk yard will end up a gold mine with an optimum balance of cost, benefits and speed.  Here is how it makes sense:

Hadoop, the core…

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Added by Ashu Kumar on April 2, 2015 at 8:00am — No Comments

Meet the New Chief Data Scientist of the United States Government

United States President Barack Obama recently introduced DJ Patil as the new Chief Data Scientist of the United States Government. See video: Data Science: Where are We Going?…

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Added by Michael Walker on April 2, 2015 at 7:30am — 2 Comments

6 Cloud Based Machine Learning Services

Developing machine learning solutions that give a lift from your existing prediction algorithms is not an easy task. They require a multitude of activities to get it right including cleaning up the data, setting up the infrastructure, testing &re-testing the model & finally deploying the algorithm.

Here are five machine learning services that can help…

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Added by Gridlex on April 1, 2015 at 7:30pm — No Comments

Abridged List of Machine Learning Topics

Interesting list published on Startup.ml. Here are the main categories:

  1. Deep Learning
  2. Online Learning
  3. Graphical Models
  4. Structured Predictions
  5. Ensemble Methods
  6. Kernel Machines
  7. Hyper-parameter Optimization
  8. Optimization
  9. Graphs
  10. Hadoop / Spark
  11. GPU learning
  12. Julia
  13. Robotics
  14. Natural Language…
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Added by Mirko Krivanek on April 1, 2015 at 7:00pm — No Comments

50 great data visualizations

Interesting post. I think many of these visualizations are just pure art, but delivering no insight. So we selected a few of the most powerful ones for you.

The Iliad (whatever that means)…

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Added by Mirko Krivanek on April 1, 2015 at 6:30pm — 1 Comment

Weekly Digest - April 6

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday.

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Added by Vincent Granville on April 1, 2015 at 10:00am — No Comments

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