Pragmatic Programming Techniques
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Thursday, April 21, 2011
K-Means Clustering in Map Reduce
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Unsupervised machine learning has broad application in many e-commerce sites and one common usage is to find clusters of consumers with comm...
10 comments:
Saturday, March 19, 2011
Compare Machine Learning models with ROC Curve
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ROC Curve is a common method to compare performance between different models. It can also be used to pick trade-off decisions between ...
3 comments:
Thursday, March 17, 2011
Predictive Analytics Conference 2011
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I attended the San Francisco Predictive Analytic conference this week and got a chance to chat with some best data mining practitioners of t...
Sunday, December 5, 2010
BI at large scale
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As more and more data being collected everywhere from pretty much everything a user do, such as transactions activities, social interactions...
4 comments:
Friday, November 5, 2010
Map Reduce and Stream Processing
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Hadoop Map/Reduce model is very good in processing large amount of data in parallel. It provides a general partitioning mechanism (based o...
1 comment:
Friday, October 15, 2010
Scalable System Design Patterns
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Looking back after 2.5 years since my previous post on scalable system design techniques , I've observed an emergence of a set of common...
13 comments:
Wednesday, October 6, 2010
BigTable Model with Cassandra and HBase
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Recently in a number of "scalability discussion meeting", I've seen the following pattern coming up repeatedly ... To make you...
5 comments:
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