Konferenzprogramm
Erleben Sie eine Online-Konferenz mit Expertinnen und Experten, die allesamt bekannte Kenner ihrer Materie sind. Bei den Virtual Deep Dives stehen praktische Anwendbarkeit und direkte Umsetzung im Vordergrund. Von den Machern der OOP-Konferenz für Softwarearchitekt:innen, Softwareentwickler:innen und IT-Projektleitende – in der gewohnten Qualität.
Simply the Best: An Introduction to Machine Learning with Evolutionary Algorithms
Machine learning is a massive topic, but it is possible to cover some interesting and useful aspects in a short workshop. For example, inspired by the biological process of evolution in nature, evolutionary algorithms have been widely used for optimization problems, i.e. searching for the ‘best’ solution(s) to a problem from a space of possibilities. This workshop is aimed at programmers who wish to better understand a variety of evolutionary algorithms. Examples will be given in both Python and C++.
The workshop begins with a brief introduction on evolutionary algorithms and their history, and how they have taken biological evolution as inspiration. We will start with ‘OneMax’, a ‘hello world’-type example for evolutionary algorithms and work our way to more complicated examples. By the end of the workshop, participants will have gained a practical understanding of the important patterns of evolutionary algorithms (e.g. solution representations, fitness measures, diversity preservation operators).
We will learn how randomness can be used to solve problems.
Target Audience: Developers
Prerequisites: English, able to code in Python or C++, with your tools to hand
Level: Basic
Consultant and Author
Frances Buontempo is currently editor of the ACCU’s Overload magazine and has written two books, one on Genetic Algorithms and Machine Learning and the other on Learning C++ for those who got left behind since C++11. She has worked as a programmer at various companies, mostly in London with a focus on finance. She enjoys testing and deleting code and tries to keep on learning.
