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1. The Myth of Model Interpretability - Apr 27, 2015.
2. How To Become a Data Scientist And Get Hired - May 1, 2015.
3. The Grammar of Data Science: Python vs R - Mar 28, 2015.
4. How to become a Data Scientist - brief answer - Apr 28, 2015.
5. New Hybrid Rare-Event Sampling Technique for Fraud Detection - Apr 26, 2015.
6. 7 Steps for Learning Data Mining and Data Science - Oct 10, 2013.
7. Top stories for Apr 19-25: Top LinkedIn Groups for Analytics, Big Data, Data Mining; 10 R Packages for a Kaggle Champion - Apr 26, 2015.
8. Awesome Public Datasets on GitHub - Apr 6, 2015.
9. Top 10 R Packages to be a Kaggle Champion - Apr 21, 2015.
10. Data Scientists Thoughts that Inspire - Apr 29, 2015.

Most shared

1. The Myth of Model Interpretability - Apr 27, 2015.
2. Top stories for Apr 19-25: Top LinkedIn Groups for Analytics, Big Data, Data Mining; 10 R Packages for a Kaggle Champion - Apr 26, 2015.
3. Interview: Emmanuel Letouze, Data-Pop Alliance on Big Data for Development and Future Prospects - Apr 25, 2015.
4. On the Shelf: Data Science Books - Apr 28, 2015.
5. New Hybrid Rare-Event Sampling Technique for Fraud Detection - Apr 26, 2015.
6. Data Scientists Thoughts that Inspire - Apr 29, 2015.
7. How Data Science makes Better Products - May 1, 2015.
8. How To Become a Data Scientist And Get Hired - May 1, 2015.
9. How to become a Data Scientist - brief answer - Apr 28, 2015.
10. Data Mining Process/Workflow Reproducibility and KNIME - May 1, 2015.

Most viewed jobs and positions

1. Boeing: Advanced Info Technologist in Machine Learning - Apr 28, 2015.
2. U. of Bristol: Heilbronn Research Fellowship: Data analysis for cybersecurity - Apr 27, 2015.
3. Criteo: Senior Data Scientist - Machine Learning - Apr 30, 2015.
4. Growth Intelligence: Developer, Big Data - Apr 28, 2015.
5. Boeing: Advanced Information Technologist Text Analytics - Apr 28, 2015.
6. Damballa: Research Scientist - Apr 29, 2015.
7. Apple: Data Science Engineer - Apr 24, 2015.