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In this episode of Elixir Wizards, Katelynn Burns, software engineer at LaunchScout, and Alexis Carpenter, senior data scientist at cars.com, join Host Dan Ivovich to discuss machine learning with Elixir, Python, SQL, and MATLAB. They compare notes on available tools, preprocessing, working with pre-trained models, and training models for specific jobs.
The discussion inspires collaboration and learning across communities while revealing the foundational aspects of ML, such as understanding data and asking the right questions to solve problems effectively.
https://launchscout.com/
https://www.cars.com/
Genetic Algorithms in Elixir by Sean Moriarity
Machine Learning in Elixir by Sean Moriarity
https://github.com/elixir-nx/bumblebee
https://github.com/huggingface
https://www.docker.com/products/docker-hub/
Programming with MATLAB
https://elixirforum.com/
https://pypi.org/project/pyspark/
Machine Learning Course from Stanford School of Engineering
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
Data Science for Business by Foster Provost & Tom Fawcett
https://medium.com/@carscomtech
https://github.com/k-burns
Code Beam America March, 2024
Special Guests: Alexis Carpenter and Katelynn Burns.