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Sandipan Dey's Blog – April 2018 Archive (3)

Implementing PEGASOS: Primal Estimated sub-GrAdient SOlver for SVM, Logistic Regression and Application in Sentiment Classification (in Python)

Although a support vector machine model (binary classifier) is more commonly built by solving a quadratic programming problem in the dual space,  it can be built fast by solving the primal optimization problem also. In this article a Support Vector Machine implementation is going to be described by solving the primal optimization…


Added by Sandipan Dey on April 28, 2018 at 3:30pm — No Comments

Implementing a Soft-Margin Kernelized Support Vector Machine Binary Classifier with Quadratic Programming in R and Python

In this article, couple of implementations of the support vector machine binary classifier with quadratic programming libraries (in R and python respectively) and application on a few datasets are going to be discussed.  

The next figure describes the basics of Soft-Margin SVM (without kernels).

svm_slack.png SVM in a nutshell

  • Given a (training) dataset consisting of positive and negative class instances.
  • Objective is to find…

Added by Sandipan Dey on April 23, 2018 at 9:30am — No Comments

Some Reinforcement Learning: The Greedy and Explore-Exploit Algorithms for the Multi-Armed Bandit Framework in Python

In this article the multi-armed bandit framework problem and a few algorithms to solve the problem is going to be discussed. This problem appeared as a lab assignment in the edX course DAT257x: Reinforcement Learning Explained by Microsoft. The problem description is taken from the assignment itself.

The Problem Statement and Some Theory

Given a set of  actions with some unknown reward distributions, …


Added by Sandipan Dey on April 4, 2018 at 9:30am — No Comments

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