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Featured Blog Posts – January 2014 Archive (14)

Personal Banking and the Data-Driven Approach reported recently on a phenomenon they characterized as “The Downside of the Data Driven Decision.” The LA Times first uncovered Wells Fargo’s quota of eight consumer products per account. The story described questionable tactics used by bank employees to meet that goal. American Banker quickly picked up on the…


Added by Radhika Subramanian on January 30, 2014 at 9:33am — No Comments

Why Companies can't find analytic talent

I'll add another reason why companies can't find analytic talent: their recruiting practices are simply awful.  They drag out the due diligence process far longer than necessary; they keep candidates in the dark about where they stand; and they request many more meetings and phone calls than are necessary.  I've also heard more than a few stories about hiring managers going through the process and selecting a candidate to make an offer to, and then the hiring manager's boss or the CFO…


Added by Ira Gershkoff on January 20, 2014 at 6:57pm — 3 Comments

Why Companies can't find analytic talent

After posting my article about 6000 companies hiring data scientists, I looked at the top ones in the list, and I compared with the number of job interviews (invites for screening interviews) that I receive almost daily.…


Added by Vincent Granville on January 17, 2014 at 1:30pm — 17 Comments

Selected resumes for readers of our data science book

These 6 data science resumes, referenced in our data science book, were submitted to us for publication  in our book, in December 2013. We provide them for illustration purposes only. It is very interesting to contrast them with the 6 job ads listed in our book: the contrast is spectacular; some of these companies are…


Added by Vincent Granville on January 16, 2014 at 6:00pm — No Comments

Machine Learning and Data Mining Books - A Baker's Dozen for Data Scientists

Here are 13 books on Machine Learning and Data Mining that are great resources, references, and refreshers for Data Scientists. (This is definitely a small selective subsample of the many excellent books available.)

  1. The Top Ten Algorithms in Data Mining, by Xindong Wu and Vipin Kumar (editors)
  2. Learning from Data, by Y.Abu-Mostafa, M.Magdon-Ismail,…

Added by Kirk Borne on January 15, 2014 at 1:30pm — No Comments

Big Data and Data Science Books - A Baker's Dozen

Here are 13 informative and inspirational books on Big Data and Data Science.  This is definitely not intended to be a comprehensive list (since a complete list of such readings would itself be a form of "Big Data", and consequently the number of possibilities is a nearly uncountable number! NOTE definition of "uncountable" = an infinite set that contains too many elements to be countable.)…


Added by Kirk Borne on January 15, 2014 at 12:30pm — 2 Comments

Selected job ads for readers of our data science book

These data science job ads, referenced in our data science book, were posted on AnalyticTalent in December 2013. We provide them for illustration purposes only. It is very interesting to contrast them with resumes from smart qualified candidates listed in our…


Added by Vincent Granville on January 14, 2014 at 8:30pm — No Comments

Indian Car Brand Perception Survey Report

A recent survey during current festive season was done on seven different automotive brands and taken there preferred attributes for a purchase/like. The underlying dimensional graph…


Added by Dr. Pradeep Mavuluri on January 12, 2014 at 10:37pm — No Comments

A report from Japan: Puzzling situation of "Data Scientist" in Japanese market

One of motivations I write the English-version of my blog is reporting and sharing the latest topics of Japanese market in data science and related fields. In the latest post, I wrote about a puzzling situation of "Data Scientist" in Japanese market.

Although Google Trends shows a fever of "data scientist" in English still rises, the same one…


Added by Takashi J. OZAKI on January 12, 2014 at 10:20pm — 2 Comments

Will The Buy The Dip Mentality Work In 2014?

Let's face it, in 2013 almost every dip in the major stock indexes turned out to be a buying opportunity. Every time the stock market seemed to be starting a correction or meaningful pullback the central bankers came running out on TV proclaiming that low interest rates would remain intact for years to come. Just think about it, there has not been a single 10.0 percent correction in over two years. The last time the stock market even came close to a real correction in 2013 was in May…


Added by Nicholas Santiago on January 9, 2014 at 11:03am — No Comments

Data Science – the Foundation for Leading Banks


Now-a-days, Banking Industry is facing many challenges - rapidly changing consumer environment, rigorous regulatory guidelines, highly competitive environment, emergence of new channels to name a few.


With these great challenges come great rewards—Banks have the opportunity to pull ahead of the curve or completely fall behind. Accurately…


Added by Mousumi Ghosh on January 8, 2014 at 5:49pm — No Comments

Is Warren Buffett The World's Greatest Investor Or Insider?

Warren Buffett is considered by most people to be the best investor in the world. After all, he is one of the richest men on the planet. Mr. Buffett is a disciple of the legendary Benjamin Graham. Ben Graham's philosophy was to always have a margin of safety when investing and Warren Buffet has certainly mastered that. Mr. Buffett was the son of a U.S. Congressman, so he so he was able to see how things worked in Washington D.C. and the political world. 

Over the…


Added by Nicholas Santiago on January 7, 2014 at 11:18am — 1 Comment

Social Media: how to measure their impact?


For a company, having "a presence" in social media is worthless unless it allows it to achieve some objectives. However, beyond the control of the company, social media talk about the company, under these conditions is it reasonable to ignore this space frequented by customers, prospects, partners and competitors?

Social media influences reputation, image, and…


Added by Michel Bruley on January 7, 2014 at 2:07am — No Comments

Comparing machine learning classifiers based on their hyperplanes, for "package-users"

In English-version of my personal blog, I posted an article about how we should understand a nature of each machine learning classifier; my solution is "just looking at a hyperplane of each".


For package-users, not serious experts in machine learning and its scientific basis, visualized features (i.e. hyperplanes on 2D space) would be much…


Added by Takashi J. OZAKI on January 6, 2014 at 7:59am — No Comments

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