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Resources Cluster analysis in R: determine the optimal number of clusters Glossary for Analysis Nerds  Big Data Analytics with Google Big Query and R Graph gallery Data Science on Stackexchange.com Must read before attending any data science interview 37 colleges to fulfil your dream of becoming a Data Scientist From: Freedom of Press Articles 12 Best Free and Open Source NoSQL Databases Freedom of press: worldwide map Data science vs statistics: the great debate Microsoft Unveils Azure - Machine Learning for the Masses The odds you’ll join the ranks of the long-term unemployed Algorithm can determine, with 80 percent accuracy, whether video is... How Insurance Companies Predict When You'll Die Data scientists Compete for Glory How to Find the Best Connected Individual in Your Social Network 10 More Powerful Facts About Big Data  The Data-Driven Workforce: 5 Critical Roles  - Comment:  what about data hacker, data

Unsolicited data scientists solving your problems without using your data Here I described how I identified a root cause, and provided a dual solution for a problem impacting LinkedIn and its members. For your reference, I also included links to many other solutions, coming from our data science research labs, applied to a bunch of companies and business problems. The problem : LinkedIn email blasts deployed to group members are working less and less, many times not at all. I stopped receiving most of them two weeks ago without any action on my part - though I like them as it helps me identify   great articles for my weekly digests . Posting an article on LinkedIn is becoming incredibly more difficult as popular bloggers get flagged as spammers, as a result of this email spike featuring the same postings over and over. The explanation : LinkedIn recently started to send email digests from all groups, to all members, too frequently (or maybe they improved email delivery an

Must read before attending any data science interview Here are   fundamental resources   that you should check out before your next data science interview. Read these documents thoroughly to get prepared, impress your interviewer, boost your chances to be hired, and get bigger paycheck if hired: Resources to read 2-3 days before your job interview: Fast Combinatorial Feature Selection with New Definition of Predict... Big Data Poster Data Science Cheat Sheet 16 resources to learn and understand Hadoop Practical illustration of Map-Reduce (Hadoop-style), on real data Why and how you should build a data dictionary for big data sets What MapReduce can't do The curse of big data Fast clustering algorithms for massive datasets Life Cycle of Data Science Projects Interesting Tutorials from PyCon 2014 – USA 66 job interview questions for data scientists How to detect spurious correlations, and how to find the real ones Large set of Machine Learning and Relate

9 Free Books for Learning Data Mining & Data Analysis Data mining, data analysis, these are the two terms that very often make the impressions of being very hard to understand – complex – and that you’re required to have the highest grade education in order to understand them. I can only disagree, and as with anything in this wonderful life of ours, we only need to spend a certain amount of time learning something, practicing it, before we realize that it’s not really all that hard. It’s difficult to see what is behind a closed door, and unless we go up to that door and open it, to see what is behind it, we’re never going to know. Though, this applies to most things in life, but I can definitely feel the ‘fear’ that people have of such complex studies as data science itself. No doubt that there are very smart people in this World, working for large corporations such as Google, Apple, Microsoft and plenty more ( including security agencies ), but if we continue to