Top stories for Sep 27 – Oct 3: Top 5 arXiv Deep Learning Papers, Explained; 30 best HBR articles on Big Data, Data Science

Top 5 arXiv Deep Learning Papers, Explained; 30 Can't miss Harvard Business Review articles on Data Science, Big Data and Analytics; Data Lake vs Data Warehouse: Key Differences.



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  1. Top 5 arXiv Deep Learning Papers, Explained

    - Oct 1, 2015.
  2. 60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more - Sep 4, 2015.
  3. 15 Mathematics MOOCs for Data Science - Sep 23, 2015.
  4. Data Lake vs Data Warehouse: Key Differences - Sep 29, 2015.
  5. R vs Python for Data Science: The Winner is ... - May 26, 2015.
  6. The one language a Data Scientist must master - Sep 1, 2015.
  7. 30 Can't miss Harvard Business Review articles on Data Science, Big Data and Analytics - Sep 30, 2015.
  8. 9 Must-Have Skills You Need to Become a Data Scientist - Nov 22, 2014.
  9. How to become a Data Scientist for Free - Aug 28, 2015.
  10. The Master Algorithm - new book by top Machine Learning researcher Pedro Domingos - Sep 25, 2015.

 
 

Most shared

  1. Top 5 arXiv Deep Learning Papers, Explained - Oct 1, 2015.
  2. 30 Can't miss Harvard Business Review articles on Data Science, Big Data and Analytics

    - Sep 30, 2015.
  3. Data Lake vs Data Warehouse: Key Differences - Sep 29, 2015.
  4. Topological Analysis and Machine Learning: Friends or Enemies? - Sep 29, 2015.
  5. What Types of Questions Can Data Science Answer - Sep 29, 2015.
  6. Data Science of Process Mining - Understanding Complex Processes - Sep 28, 2015.
  7. Interview: Michael Brodie - We Can't Rely on Machines - Sep 28, 2015.
  8. Crushed it! Landing a data science job - Oct 1, 2015.
  9. MOOC: "Process Mining: Data science in Action" repeats in Oct 2015 - Sep 28, 2015.
  10. Top stories for Sep 20-26: 15 Mathematics MOOCs for Data Science; Support “Talking Machines” - best podcast on Machine Learning - Sep 27, 2015.



 
 

Most viewed jobs and positions

  1. Disney: Media Analytics Integration Consultant - Oct 1, 2015.
  2. UPS: Data Analyst - Sep 30, 2015.
  3. EPA: Text Mining Specialist - Sep 28, 2015.
  4. Disney: Senior Data Scientist - Oct 1, 2015.
  5. Blizzard: Senior Data Scientist - Sep 25, 2015.
  6. Disney: Principal, Decision Science - Oct 1, 2015.
  7. Purdue Pharma: Manager, Marketing Analytics - Sep 28, 2015.