EPISODE · Nov 23, 2023 · 31 MIN
Machine Learning in Elixir vs. Python, SQL, and Matlab with Katelynn Burns & Alexis Carpenter
from Elixir Wizards · host SmartLogic LLC
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. Topics discussed: Using pre-trained models in Bumblebee for Elixir projects Training models using Python and SQL The importance of data preprocessing before building models Popular tools used for machine learning in different languages Getting started with ML by picking a personal project topic of interest Resources for ML aspirants, such as online courses, tutorials, and books The potential for Elixir to train more customized models in the future Similarities between ML approaches in different languages Collaboration opportunities across programming communities Choosing the right ML approach for the problem you're trying to solve Productionalizing models like fine-tuned LLM's The need for hands-on practice for learning ML skills Continued maturation of tools like Bumblebee in Elixir Katelynn's upcoming CodeBeam talk on advanced motion tracking Links mentioned in this episode 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, 2024Special Guests: Alexis Carpenter and Katelynn Burns.
What this episode covers
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. Topics discussed: Using pre-trained models in Bumblebee for Elixir projects Training models using Python and SQL The importance of data preprocessing before building models Popular tools used for machine learning in different languages Getting started with ML by picking a personal project topic of interest Resources for ML aspirants, such as online courses, tutorials, and books The potential for Elixir to train more customized models in the future Similarities between ML approaches in different languages Collaboration opportunities across programming communities Choosing the right ML approach for the problem you're trying to solve Productionalizing models like fine-tuned LLM's The need for hands-on practice for learning ML skills Continued maturation of tools like Bumblebee in Elixir Katelynn's upcoming CodeBeam talk on advanced motion tracking Links mentioned in this episode 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, 2024Special Guests: Alexis Carpenter and Katelynn Burns.
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Machine Learning in Elixir vs. Python, SQL, and Matlab with Katelynn Burns & Alexis Carpenter
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