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*Guest blog post by Vincent Granville*

Here is selection containing both external and internal papers, focusing on various technical aspects of data science and big data. Feel free to add your favorites.

*Complex Open Text Analysis: Source: Avinash Kaushik*

**External Papers**

- Bigtable: A Distributed Storage System for Structured Data
- A Few Useful Things to Know about Machine Learning
- Random Forests
- A Relational Model of Data for Large Shared Data Banks
- Map-Reduce for Machine Learning on Multicore
- Pasting Small Votes for Classification in Large Databases and On-Line
- Recommendations Item-to-Item Collaborative Filtering
- Recursive Deep Models for Semantic Compositionality Over a Sentimen...
- Spanner: Google's Globally-Distributed Database
- Megastore: Providing Scalable, Highly Available Storage for Interac...
- F1: A Distributed SQL Database That Scales
- APACHE DRILL: Interactive Ad-Hoc Analysis at Scale
- A New Approach to Linear Filtering and Prediction Problems
- Top 10 algorithms on Data mining
- The PageRank Citation Ranking: Bringing Order to the Web
- MapReduce: Simplified Data Processing on Large Clusters
- The Google File System
- Amazon's Dynamo

**DSC Internal Papers**

- How to detect spurious correlations, and how to find the ...
- Automated Data Science: Confidence Intervals
- 16 analytic disciplines compared to data science
- From the trenches: 360-degree data science
- 10 types of regressions. Which one to use?
- Practical illustration of Map-Reduce (Hadoop-style), on real data
- Jackknife logistic and linear regression for clustering and predict...
- A synthetic variance designed for Hadoop and big data
- Fast Combinatorial Feature Selection with New Definition of Predict...
- Internet topology mapping
- 11 Features any database, SQL or NoSQL, should have
- 10 Features all Dashboards Should Have
- Clustering idea for very large datasets
- Hidden decision trees revisited
- Correlation and R-Squared for Big Data
- What Map Reduce can't do
- Excel for Big Data
- Fast clustering algorithms for massive datasets
- The curse of big data
- Interesting Data Science Application: Steganography

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