NoSQL Database in Big Data Age (video in Chinese)
CLOUD SPANNER
Fueling the Gold Rush: The Greatest Public Datasets for AI
China’s Artificial-Intelligence Boom
A gallery of interesting Jupyter and IPython Notebooks
Announcing TensorFlow 1.0
Showing posts with label NoSQL. Show all posts
Showing posts with label NoSQL. Show all posts
Monday, February 20, 2017
Saturday, June 25, 2016
Recent Big Data and Machine Learning Info Digest 2016/06/25
Spark Makes Inroads into NoSQL Ecosystem
RPy2: Combining the Power of R + Python for Data Science
Deep Learning for Recommender Systems - Budapest RecSys Meetup
FOR DATA WORK, “IT’S ACTUALLY PRETTY HARD TO ARGUE *AGAINST* USING PYTHON”
A poet does TensorFlow
Hello, TensorFlow!
Data Mining Reveals the Crucial Factors That Determine When People Make Blunders
RPy2: Combining the Power of R + Python for Data Science
Deep Learning for Recommender Systems - Budapest RecSys Meetup
FOR DATA WORK, “IT’S ACTUALLY PRETTY HARD TO ARGUE *AGAINST* USING PYTHON”
A poet does TensorFlow
Hello, TensorFlow!
Data Mining Reveals the Crucial Factors That Determine When People Make Blunders
Labels:
Data Science,
Deep Learning,
NoSQL,
Python,
R,
Recommendation,
Spark,
TensorFlow
Sunday, May 8, 2016
Recent Big Data and Machine Learning Info Digest 2016/05/08
“Hadoop Practitioners Alike Should Rejoice In The Rise Of Spark…”- Interview With Altiscale’s Mike Maciag
Machine Learning Could Be Google's Secret Cloud Weapon
HBase: The database big data left behind
Inside Palantir, Silicon Valley’s Most Secretive Company
The next stop on the road to revolution is ambient intelligence
Machine Learning Could Be Google's Secret Cloud Weapon
HBase: The database big data left behind
Inside Palantir, Silicon Valley’s Most Secretive Company
The next stop on the road to revolution is ambient intelligence
Monday, February 29, 2016
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
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.
- 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.
Labels:
FlowingData,
IBM,
Imagenet,
NoSQL,
Python,
Shaohua Zhang,
Stonebraker,
Watson
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