Overview
This course on Genetic Algorithms in Elixir aims to teach learners the underlying principles of problem-solving using genetic algorithms, covering introductory problems to real-world applications. The course focuses on algorithms, techniques, and methods involved in writing a genetic algorithm. The teaching method includes an in-depth interview discussing the potential of Elixir for machine learning, use cases for libraries, and behind-the-scenes stories. This course is intended for individuals interested in exploring genetic algorithms, machine learning, and problem-solving using Elixir.
Syllabus
Intro
Is Elixir a good language for ML?
Numerical Elixir Nx
The potential of Elixir & ML together
Use cases for the Bumblebee library
Why is Elixir a good fit for ML?
Behind-the-scenes stories
Pitching Elixir for ML
What's next?
Outro
Taught by
GOTO Conferences