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some of the topics we’ll be covering.</p>\n\n<p>Learn more about how SmartLogic
uses <a href=\"https://smr.tl/2Hyslu8\" rel=\"nofollow\">Phoenix and Elixir.</a></p>\n
\ "
- title: Machine Learning in Elixir vs. Python, SQL, and Matlab with Katelynn Burns
& Alexis Carpenter
slug: s11-e06-machine-learning-elixir-python-sql-matlab
link: https://smartlogic.io/podcast/elixir-wizards/s11-e06-machine-learning-elixir-python-sql-matlab
guid: 31baa548-33e5-414d-9cdf-3290b74cc440
pubDate: Thu, 23 Nov 2023 07:00:00 -0500
pubDateFriendly: November 23, 2023
description: |
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 (https://pragprog.com/titles/smgaelixir/genetic-algorithms-in-elixir/) by Sean Moriarity
Machine Learning in Elixir (https://pragprog.com/titles/smelixir/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://www.mathworks.com/products/matlab/programming-with-matlab.html)
https://elixirforum.com/
https://pypi.org/project/pyspark/ 
Machine Learning Course (https://online.stanford.edu/courses/cs229-machine-learning) from Stanford School of Engineering
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/) by Aurélien Géron
Data Science for Business (https://data-science-for-biz.com/) by Foster Provost & Tom Fawcett
https://medium.com/@carscomtech 
https://github.com/k-burns 
Code Beam America (https://codebeamamerica.com/) March, 2024
Special Guests: Alexis Carpenter and Katelynn Burns.
author: SmartLogic LLC
embedUrl: https://fireside.fm/player/v2/IAs5ixts+WreuOH5n
enclosure:
url: https://aphid.fireside.fm/d/1437767933/03a50f66-dc5e-4da4-ab6e-31895b6d4c9e/31baa548-33e5-414d-9cdf-3290b74cc440.mp3
length: '60783982'
type: audio/mpeg
itunes:
episodeType: full
season: '11'
author: SmartLogic LLC
subtitle: 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.
duration: '31:19'
explicit: 'no'
keywords: machine learning, ML, elixir, python, sql, matlab, pre-trained models,
hugging face, bumblebee, nlp, computer vision, data science, analytics, predictive
modeling, recommendation systems, search, natural language processing, software
engineering, motion tracking, programming languages, AI, artificial intelligence,
large language model, LLM, ChatGPT, OpenAI, tech trends, technology, neural
networks, neural data, behavioral data, chatbots, model deployment, data processing,
open source, scikit-learn, real-time modeling, batch modeling, data science,
GPT, natural language processing, reinforcement learning, natural language generation,
NLG, data mining, algorithms, predictive analytics, future trends, AI PoC, proof
of concept, automation, recommendation systems, generative AI
image: https://assets.fireside.fm/file/fireside-images/podcasts/images/0/03a50f66-dc5e-4da4-ab6e-31895b6d4c9e/episodes/3/31baa548-33e5-414d-9cdf-3290b74cc440/cover.jpg
summary: "\n <p>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.</p>\n\n<p>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.</p>\n\n<h3>Topics discussed:</h3>\n\n<ul>\n<li>Using
pre-trained models in Bumblebee for Elixir projects</li>\n<li>Training models
using Python and SQL</li>\n<li>The importance of data preprocessing before building
models</li>\n<li>Popular tools used for machine learning in different languages</li>\n<li>Getting
started with ML by picking a personal project topic of interest</li>\n<li>Resources
for ML aspirants, such as online courses, tutorials, and books</li>\n<li>The
potential for Elixir to train more customized models in the future</li>\n<li>Similarities
between ML approaches in different languages</li>\n<li>Collaboration opportunities
across programming communities</li>\n<li>Choosing the right ML approach for
the problem you&#39;re trying to solve</li>\n<li>Productionalizing models like
fine-tuned LLM&#39;s</li>\n<li>The need for hands-on practice for learning ML
skills</li>\n<li>Continued maturation of tools like Bumblebee in Elixir</li>\n<li>Katelynn&#39;s
upcoming CodeBeam talk on advanced motion tracking</li>\n</ul>\n\n<h3>Links
mentioned in this episode</h3>\n\n<p><a href=\"https://launchscout.com/\" rel=\"nofollow\">https://launchscout.com/</a><br>\n<a
href=\"https://www.cars.com/\" rel=\"nofollow\">https://www.cars.com/</a><br>\n<a
href=\"https://pragprog.com/titles/smgaelixir/genetic-algorithms-in-elixir/\"
rel=\"nofollow\">Genetic Algorithms in Elixir</a> by Sean Moriarity<br>\n<a
href=\"https://pragprog.com/titles/smelixir/machine-learning-in-elixir/\" rel=\"nofollow\">Machine
Learning in Elixir</a> by Sean Moriarity<br>\n<a href=\"https://github.com/elixir-nx/bumblebee\"
rel=\"nofollow\">https://github.com/elixir-nx/bumblebee</a><br>\n<a href=\"https://github.com/huggingface\"
rel=\"nofollow\">https://github.com/huggingface</a><br>\n<a href=\"https://www.docker.com/products/docker-hub/\"
rel=\"nofollow\">https://www.docker.com/products/docker-hub/</a><br>\n<a href=\"https://www.mathworks.com/products/matlab/programming-with-matlab.html\"
rel=\"nofollow\">Programming with MATLAB</a><br>\n<a href=\"https://elixirforum.com/\"
rel=\"nofollow\">https://elixirforum.com/</a><br>\n<a href=\"https://pypi.org/project/pyspark/%C2%A0\"
rel=\"nofollow\">https://pypi.org/project/pyspark/ </a><br>\n<a href=\"https://online.stanford.edu/courses/cs229-machine-learning\"
rel=\"nofollow\">Machine Learning Course</a> from Stanford School of Engineering<br>\n<a
href=\"https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/\"
rel=\"nofollow\">Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow</a>
by Aurélien Géron<br>\n<a href=\"https://data-science-for-biz.com/\" rel=\"nofollow\">Data
Science for Business</a> by Foster Provost &amp; Tom Fawcett<br>\n<a href=\"https://medium.com/@carscomtech%C2%A0\"
rel=\"nofollow\">https://medium.com/@carscomtech </a><br>\n<a href=\"https://github.com/k-burns%C2%A0\"
rel=\"nofollow\">https://github.com/k-burns </a><br>\n<a href=\"https://codebeamamerica.com/\"
rel=\"nofollow\">Code Beam America</a> March, 2024</p><p>Special Guests: Alexis
Carpenter and Katelynn Burns.</p>\n "
contentEncoded: "\n <p>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.</p>\n\n<p>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.</p>\n\n<h3>Topics discussed:</h3>\n\n<ul>\n<li>Using
pre-trained models in Bumblebee for Elixir projects</li>\n<li>Training models
using Python and SQL</li>\n<li>The importance of data preprocessing before building
models</li>\n<li>Popular tools used for machine learning in different languages</li>\n<li>Getting
started with ML by picking a personal project topic of interest</li>\n<li>Resources
for ML aspirants, such as online courses, tutorials, and books</li>\n<li>The potential
for Elixir to train more customized models in the future</li>\n<li>Similarities
between ML approaches in different languages</li>\n<li>Collaboration opportunities
across programming communities</li>\n<li>Choosing the right ML approach for the
problem you&#39;re trying to solve</li>\n<li>Productionalizing models like fine-tuned
LLM&#39;s</li>\n<li>The need for hands-on practice for learning ML skills</li>\n<li>Continued
maturation of tools like Bumblebee in Elixir</li>\n<li>Katelynn&#39;s upcoming
CodeBeam talk on advanced motion tracking</li>\n</ul>\n\n<h3>Links mentioned in
this episode</h3>\n\n<p><a href=\"https://launchscout.com/\" rel=\"nofollow\">https://launchscout.com/</a><br>\n<a
href=\"https://www.cars.com/\" rel=\"nofollow\">https://www.cars.com/</a><br>\n<a
href=\"https://pragprog.com/titles/smgaelixir/genetic-algorithms-in-elixir/\"
rel=\"nofollow\">Genetic Algorithms in Elixir</a> by Sean Moriarity<br>\n<a href=\"https://pragprog.com/titles/smelixir/machine-learning-in-elixir/\"
rel=\"nofollow\">Machine Learning in Elixir</a> by Sean Moriarity<br>\n<a href=\"https://github.com/elixir-nx/bumblebee\"
rel=\"nofollow\">https://github.com/elixir-nx/bumblebee</a><br>\n<a href=\"https://github.com/huggingface\"
rel=\"nofollow\">https://github.com/huggingface</a><br>\n<a href=\"https://www.docker.com/products/docker-hub/\"
rel=\"nofollow\">https://www.docker.com/products/docker-hub/</a><br>\n<a href=\"https://www.mathworks.com/products/matlab/programming-with-matlab.html\"
rel=\"nofollow\">Programming with MATLAB</a><br>\n<a href=\"https://elixirforum.com/\"
rel=\"nofollow\">https://elixirforum.com/</a><br>\n<a href=\"https://pypi.org/project/pyspark/%C2%A0\"
rel=\"nofollow\">https://pypi.org/project/pyspark/ </a><br>\n<a href=\"https://online.stanford.edu/courses/cs229-machine-learning\"
rel=\"nofollow\">Machine Learning Course</a> from Stanford School of Engineering<br>\n<a
href=\"https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/\"
rel=\"nofollow\">Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow</a>
by Aurélien Géron<br>\n<a href=\"https://data-science-for-biz.com/\" rel=\"nofollow\">Data
Science for Business</a> by Foster Provost &amp; Tom Fawcett<br>\n<a href=\"https://medium.com/@carscomtech%C2%A0\"
rel=\"nofollow\">https://medium.com/@carscomtech </a><br>\n<a href=\"https://github.com/k-burns%C2%A0\"
rel=\"nofollow\">https://github.com/k-burns </a><br>\n<a href=\"https://codebeamamerica.com/\"
rel=\"nofollow\">Code Beam America</a> March, 2024</p><p>Special Guests: Alexis
Carpenter and Katelynn Burns.</p>\n "
- title: Embedded Systems in Elixir vs. C, C++, and Java with Connor Rigby & Taylor
Barto
slug: s11-e05-embedded-systems-nerves-elixir-c-java
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