Recent Posts

• July 08, 2018

  Recommendation Systems for Implicit Feedback Dataset - Part 1

  This is the first of a series of non-comprehensive paper reviews for the recommendation systems for implicit feedback datasets.Navigations Part 1: Hu, Yifan, Yehuda Koren, and Chris Volinsky. “Collaborative filtering for implicit feedback dataset...

• October 08, 2017

  Build a vanilla movie recommender with Spark

  This is a lab originally from the edX course: Big Data Analysis with Apache Sparkwhere I learned how to construct a machine learning pipeline with Spark. There I’ve added with minor modifications to code about parameters tuning.In this post, you a...

• July 10, 2017

  NLP: Get hands dirty with Word2Vec

  Last time I wrote a post about words co-ocurrences matrix: basically why do we need it and how to create it, along with taking advantage of SVD to reduce dimensions. In this quick post, I will go directly to the implementations of Word2Vec in the ...

• July 09, 2017

  NLP: Words co-ocurrences matrix

  From now and then I will update a series of posts about very basic NLP IPython book demonstrations, just for my own purpose: keeping track of learning progress & connecting each dot into one line. This is my very first post about NLP where mos...

• February 25, 2017

  Linear regression with ARMA errors

  Recently I’m getting more and more interested in time series prediction, which might be somehow neglected by the machine learning community. However, this topic should have attracted massive attention — who wouldn’t wish to know (even get a bit of...