Structure Learning and Imitation Learning
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September 02, 2018
In classical prediction use case, the predicted output is either a number (for regression) or category (for classification). A set of train...
Showing posts with label data science. Show all posts
Showing posts with label data science. Show all posts
Sunday, September 2, 2018
Saturday, July 15, 2017
Regression model outputting probability density distribution
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July 15, 2017
For a classification problem (let say output is one of the labels R, G, B), how do we predict ? There are two formats that we can report our...
Saturday, April 29, 2017
An output of a truly random process
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April 29, 2017
Recently I have a discussion with my data science team whether we can challenge the observations is following a random process or not. Basi...
Tuesday, August 25, 2015
Common techniques in optimization
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August 25, 2015
Optimization is a frequently encountered problem in real life. We need to make a decision to achieve something within a set of constraints,...
Wednesday, November 5, 2014
Common data science project flow
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November 05, 2014
As working across multiple data science projects, I observed a similar pattern across a group of strategic data science projects where a com...
Saturday, November 9, 2013
Diverse recommender
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November 09, 2013
This is a continuation of my previous blog in recommendation systems , which describes some basic algorithm for building recommendation syst...
Saturday, September 7, 2013
Exploration and Exploitation
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September 07, 2013
"Cold Start" is a common problem happens quite frequent in recommendation system. When a new item enters, there is no prior histo...
Saturday, August 17, 2013
Six steps in data science
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August 17, 2013
"Data science" and "Big data" has become a very hot term in last 2 years. Since the data storage price dropped signific...
