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[Seminar] Decision Trees

Friday, January 21, 2022

11:00 am - 12:00 pm

Location

Online via Zoom (Microsoft 365 CougarNet authentication required to join)

Abstract

Decision trees are an example of supervised machine learning techniques that can be used for both classification and regression problems but mostly they are preferred to solve classification problems. In this talk, I will start with the basic introduction of decision trees, their representation and the problems that they can solve effectively. Then, I will explain the basics of the ID3 decision tree algorithm including the concepts of entropy and information gain, which are important concepts in such algorithms. I will also discuss the issues in decision tree learning and how they can be possibly addressed. Our discussion will utilize several examples throughout the talk.

About the Speaker

Bal Krishna Bal is an associate professor and head of the Department of Computer Science & Engineering at Kathmandu University, and leads the Artificial Intelligence and Data Science Specialization Programs (Bachelors and Master of Technology in AI and Data Science) that has been recently launched. Dr. Bal received his bachelors and masters degrees in Informatics and Computer Engineering from Volgograd State Technical University (Russia) and PhD from Kathmandu University (Nepal). His teaching currently spans both Computer Science core courses as well as Data Science and AI related courses for undergraduate and graduate students. Dr. Bal’s primary research area is Natural Language Processing (NLP). I have worked both in the industry and academia conducting various research and development of NLP applications like the Spellchecker, Grammar checker, Machine Translation, Text-to-Speech, Optical Character Recognition (OCR), and Sentiment Analysis.

Decision Trees Seminar January 21
Location
Online via Zoom