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Thursday, October 4, 2012
Machine Learning in Gradient Descent
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In Machine Learning, gradient descent is a very popular learning mechanism that is based on a greedy, hill-climbing approach. Gradient De...
5 comments:
Sunday, September 23, 2012
Location Sensitive Hashing in Map Reduce
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Inspired by Dr. Gautam Shroff who teaches the class: Web Intelligence and Big data in coursera.org, there are many scenarios where we want t...
3 comments:
Monday, August 13, 2012
BIG Data Analytics Pipeline
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" Big Data Analytics " has recently been one of the hottest buzzwords. It is a combination of "Big Data" and "Deep...
4 comments:
Wednesday, August 8, 2012
Measuring similarity and distance function
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Measuring similarity or distance between two data points is very fundamental to many Machine Learning algorithms such as K-Nearest-Neighbor,...
4 comments:
Thursday, July 5, 2012
Couchbase Architecture
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After receiving a lot of good feedback and comment on my last blog on MongoDb , I was encouraged to do another deep dive on another popular ...
4 comments:
Monday, June 11, 2012
Predictive Analytics: Evaluate Model Performance
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In previous posts, we have discussed various machine learning techniques including linear regression with regularization, SVM, Neural networ...
2 comments:
Wednesday, June 6, 2012
Predictive Analytics: Decision Tree and Ensembles
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Continue from my last post of walking down the list of machine learning technique. In this post, I will covered Decision Tree and Ensemble...
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