Genetic algorithms: making errors do all the work

by Raman Tehlan

Machine Learning & Data Science

This talk presents a systematic approach to understand and implement Genetic Algorithms, with a hands-on experience of solving a real-world problem. The inspiration and methods behind GA will also be included with all the fundamental topics like fitness algorithms, mutation, crossover etc, with limitations and advantages of using it.

About the Author

I am an undergraduate student at SRM University, doing B Tech in Computer Science. My field of interest is Mathematics, Server-Side Technologies and Genetic Algorithms. I am currently a Software engineering intern at Timeless co, previously at Udacity and Knowalrity. I have created more than 20+ projects and love contributing to other open-source projects. I am also a core member of PyData Delhi and recently co-organized PyData Delhi Conference.

Talk Details

Date: Saturday Nov. 16

Location: Round Room (PyData Track)

Begin time: 15:25

Duration: minutes