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Wednesday, January 13, 2016

Recent Big Data and Machine Learning Info Digest 2016/01/13

Michael Stonebraker: Big Data is (at least) Four Different Problems

  • Stonebraker on "SQL Databases v. NoSQL Databases"
  • Stonebraker on "NoSQL and Enterprises"
  • Stonebraker on "mapReduce and Parallel DBmss"

10 More lessons learned from building real-life Machine Learning systems — Part I

Artificial Intelligence: Can Watson Save IBM?

Algorithms can predict how students will answer questions, and even explain why they would get questions wrong [paper]

Epic visualizations from FlowingData in 2015

Benchmarking streaming computation engines at Yahoo!

The untapped potential of health care APIs 

Microsoft researchers win Imagenet computer vision challenge

Learn python overtakes learn java

Data scientists keep forgetting the one rule every researcher should know by heart


Thanks Shaohua for above information sharing.
Posted by William at 10:49 PM
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Labels: FlowingData, IBM, Imagenet, NoSQL, Python, Shaohua Zhang, Stonebraker, Watson

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