I have finished reading 20 short tutorial suggested by datasciencecentral. Its amazing, I particularly liked clustering and bigdata related articles. Following is the complete list, go ahead and let me know what’s your favourite article.

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