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February 2015 Blog Posts (54)

Programming for Data Science the Polyglot approach: Python + R + SQL

In this post, I discuss a possible new approach to teaching Programming for Data Science.

Programming for Data Science is focussed on the R vs. Python question.  Everyone seems to have a view including the venerable …

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Added by ajit jaokar on February 9, 2015 at 2:30am — 25 Comments

400 Categorized Job Titles for Data Scientists

Job titles for data scientists, including details about the simple but powerful classifier used to categorize these job titles. This analysis provides a break down per job category, and granular reports that you can download for free (job titles broken down per company, category and level), as well as NLP (natural language processing) source code. It is based on analyzing connections from multiple LinkedIn profiles - totaling more than 10,000 professionals. The first study…

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Added by Vincent Granville on February 8, 2015 at 3:00pm — 1 Comment

Taking the Fear Out of Statistics

In the film Silver Linings Playbook, Jennifer Lawrence’s character, Tiffany, attempts to win over the Philadelphia Eagles-obsessed family of her friend, Pat, by claiming that her time with him is bringing the team good “juju.”

“The first night Pat and I met at my sister’s, the Eagles beat the 49ers handily, 40–26,” she says, pacing around a living room filled with Pat’s rapt relatives. “The second time we…

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Added by Peter Bruce on February 6, 2015 at 2:30pm — No Comments

Book Introduction: High-Performance Data Mining and Big Data Analytics

Technical Title: High-Performance Data Mining and Big Data Analytics

Business Title: The Story of Insight From Big Data

Book Site: …

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Added by Khosrow Hassibi on February 6, 2015 at 1:30pm — No Comments

Analyzing Analysts To Build Better Analysis Software

When we launched Mode’s public beta in June 2014, we knew we were putting an MVP (minimum viable product) editor into the wild. As soon as we released it, we started thinking about how we could make it even easier for analysts to create and share work. But, the beta gave us something we couldn’t get otherwise: usage data. By analyzing the way analysts have been using Mode, we’ve been able to validate some of our early feature…

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Added by Benn Stancil on February 6, 2015 at 8:00am — No Comments

Guide: What is Human-in-the-Loop Machine Learning?

Machine learning isn't a set-it-and-forget-it operation. Even with solid examples, ML algorithms can still fail and end up blocking important emails, filtering out useful content, and causing a variety of other problems.…

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Added by Renette Youssef on February 5, 2015 at 10:30am — No Comments

Big Data, IoT, Wearables: A Connected World with Intelligence

At the CES 2015, I was fascinated by all sorts of possible applications of IoT – socks with sensors, mattresses with sensors, smart watches, smart everything – it seems like a scene in sci-fi movies has just come true. People are eager to learn more about what’s happening around them and now they can.

 

While I was at there I attended a talk given…

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Added by Yuanjen Chen on February 4, 2015 at 2:00pm — No Comments

Weekly Digest - February 9

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

Announcements

  • Make People-Powered Sentiment Analysis Work for You. Join CrowdFlower on Feb 26th to learn how Edelman PR uses the CrowdFlower data enrichment platform to get beyond the…

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Added by Vincent Granville on February 4, 2015 at 10:30am — No Comments

Caltrain Quantified: An Exploration in IoT

Executive Summary

Though often the focus of the urban noise debate, Caltrain is one of many contributors to overall sound levels along the Bay Area’s peninsula corridor. In this investigation, Cameron Turner of Palo Alto’s The Data Guild takes a look at this topic using a…

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Added by Cameron Turner on February 3, 2015 at 11:00am — 3 Comments

Big Data Humor: Top 10 Conversations That You Don’t Want to Have on Data Innovation Day

(Reprinted from http://rocketdatascience.org/?p=157 )

Data Innovation Day was celebrated on January 22, with many excellent events, including these:

http://www.datainnovationday.org/

https://twitter.com/hashtag/datascichat

In honor of the event, I prepared the…

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Added by Kirk Borne on February 3, 2015 at 9:46am — No Comments

Making the Business Case for Text Analytics

The key to making a business case for any Analytics initiative, not just text analytics, is to  identify specific business problems and pain points and use analytics to address them, instead of merely seeking insights.

The top business case for Text Analytics…

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Added by Mark Sharma on February 3, 2015 at 4:40am — 4 Comments

Will Big Data Make Data Scientists Redundant?

A recent report predicts that a 100 million jobs could be at risk of being made redundant by automation.  These are expected to include roles from supermarket cashier to accountant, as robotics and machine learning become increasingly able to perform routine tasks more efficiently than we can.

But surely if there is one job title which will be safe from the inevitable rise of the machines it will be data scientist or big data analyst – after all haven’t I been championing that career…

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Added by Bernard Marr on February 2, 2015 at 12:30pm — 3 Comments

Digital Banking – Lessons from channel integration

Digital banking offers unprecedented opportunities both for banks as well as customers. It has provided banks breadth and ease in delivering their products and services to customers. As for customers, it has pushed service options and expectations to a new high. Given the opportunity spectrum, it is no surprise that banks have invested heavily in upgrading their digital preparedness. 2015 promises more investments in digital banking.

A definition of digital banking will be of help…

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Added by Naagesh Padmanaban on February 1, 2015 at 10:00pm — 1 Comment

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