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Decision Trees and Rule-Based Segmentation- Statistics.com

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This course covers two main styles of generating rules:

One style of machine learning is association learning. In association learning, the learning method searches for any association between features. That is, there is no specific target variable. An example is the recommendation systems used in many online shopping systems

A second style of machine learning is classification learning. In classification learning, a learning scheme takes a set of classified examples from which it is expected to learn a way of classifying unseen examples

Course Program:

  • Week 1: Introduction
  • Week 2: Classification via CHAID
  • Week 3: Classification via C4.5 Decision Trees
  • Week 4: Rule Construction via Covering Algorithms

Important Date:

January 15, 2016 to February 12, 2016

Duration:

4 Weeks

Time Requirement:

About 15 hours per week, at time of your choosing.

Fees:

INR 37,740 (assuming $ = INR 60)

Full Time/Part Time:

Part Time

Analysts and researchers who need to know more about automated machine learning methods for generating recommendation systems and decision rules: data miners, consultants, ecommerce analysts, market researchers, direct marketers, medical diagnosticians.

  • Mr. Anthony Babinec
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