Here's the content. Click here to check the full table of content. The final chapter was produced on time, and the expected publication date is still by March 2014. Publisher is Wiley.…

A few data sets are accessible from our data science apprenticeship web page.

• Source code and data for our Big Data…

This is another provocative KDNuggets blog post: the data scientist is reduced to three circles, missing the biggest, most important one that encompasses all three of them.. 

My answer: This Venn diagram…

Search engines (Google, Microsoft), social networks (Twitter, Facebook, LinkedIn), financial institutions, Amazon, Apple, eBay, the health care industry, engineering companies (Boeing, Intel, Oil industry), retail analytics, mobile analytics, marketing agencies, data science vendors (for instance, Pivotal, Teradata, Tableau, SAS, Alpine Labs), environment, utilities government and defense routinely hire…

Facebook uses an algorithm to estimate the proportion of text in an image embedded into a Facebook ad.

The algorithm works well and it is well designed (it's not an issue of bad data science per se), but it results in 50% of my ads being rejected, see sample ad and rejection notice below. This is an example where better…

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• A synthetic variance designed for Hadoop and big data - Revised Version…

At 12 years old, Capri might be the youngest data scientist hired by a tech company. So what is she working on?

First, she helps promote data science and computer science among teens. She is the future generation of tech-savvy…

I need to finish the last chapter of my Data Science book by December 30. It will include

• Selected resumes from data scientists (or related job titles such as Director of Analytics, Data Architect, Chief Scientist…

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• The Youngest Data Scientist…

It is interesting to see what Harvard considers to be data science. They use Python in all projects / training (there's nothing wrong with that, though exposure to other languages - R, Stata, SQL - would be great, in top of Python). It is too traditional, and too heavy in statistics in particular. I did not see anything about machine-to-machine communications (e.g. keyword bidding), processing real time data, the…

Visualization continues to mature and focus more on the data first than on novel designs and size. People improved on existing forms and got better at analysis. Readerships seemed to be more ready and eager to explore more data at a time. Fewer spam graphics landed in my inbox.

So all in all, 2013 was a pretty good year for…

It all started as a little data science project, possibly a job interview question for applicants: How would you compute the number of entries on Wikipedia.

The idea was to use large…

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• Operational Data Science: excerpt from 2 great articles…

This discussion was posted on our large LinkedIn group (100,000+ members) by our friend Gregory, pictured below. It has generated a tremendous volume of great comments by a number top leaders. Below is some of my comments. You can read and participate in the discussion by clicking here.…

What kind of data is salable? How can data scientists independently make money by selling data that is automatically generated: raw data, research data (presented as customized reports), or predictions. In short, using an automated data generation / gathering or prediction system, working from home with no boss and no employee, and possibly no direct interactions with clients. An alternate career path that many of…