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The explosion of hype around the term “big data” ushered in a rabid desire in companies big and small to get their hands on employees with a data science skill set. For evidence, you need look no further than Indeed’s graph of the number of big data-related job postings.

What exactly is it that data scientists do? Why does everyone want one? And, how do you become one? These are the some of the key questions circulating as the term "data scientist" spreads.

Heralded as the hottest profession of today, increased demand for data scientists is expected to continue over the next 5 years as a third of the UK organizations implement big data analytics programs.

Described as part scientist, part artist, this new breed of data analyst earns an average salary of $95,000-$118,000 (according to the salary comparison sites Glassdoor and Payscale) and is actively sought by businesses across the globe.

The top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper are presented. Once you know what they are, how they work, what they do and where you can find them, my hope is you’ll have this blog post as a springboard to learn even more about data mining.

There are several big data blogs on the internet. Listed are the Top Big Data Blogs structured by topic

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Here's the list:

1. Tutorial: How to detect spurious correlations, and how to find the...
2. Practical illustration of Map-Reduce (Hadoop-style), on real data
3. Jackknife logistic and linear regression for clustering and predict...
4. From the trenches: 360-degrees data science
5. A synthetic variance designed for Hadoop and big data
6. Fast Combinatorial Feature Selection with New Definition of Predict...
7. A little known component that should be part of most data science a...
8. 11 Features any database, SQL or NoSQL, should have
9. Clustering idea for very large datasets
10. Hidden decision trees revisited
11. Correlation and R-Squared for Big Data
12. Marrying computer science, statistics and domain expertize
13. New pattern to predict stock prices, multiplies return by factor 5
14. What Map Reduce can't do
15. Excel for Big Data
16. Fast clustering algorithms for massive datasets
17. Source code for our Big Data keyword correlation API
18. The curse of big data
19. How to detect a pattern? Problem and solution
20. Interesting Data Science Application: Steganography