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1 Richard (Kudo) Couto: The Hidden Horror Behind a Billion-Dollar Brand 42:18
Machine Learning in Elixir vs. Python, SQL, and Matlab with Katelynn Burns & Alexis Carpenter
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Manage episode 385342062 series 2493466
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, 2024
Special Guests: Alexis Carpenter and Katelynn Burns.
190 episodes
Fetch error
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What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 385342062 series 2493466
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, 2024
Special Guests: Alexis Carpenter and Katelynn Burns.
190 episodes
All episodes
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1 Building an Open Vehicle Control System using Elixir and Nerves with Marc, Thibault, and Loïc 54:19

1 Creating Horizon: Deploy Elixir Phoenix Apps on FreeBSD with Jim Freeze 44:48

1 Telemetry & Observability for Elixir Apps at Cars.com with Zack Kayser & Ethan Gunderson 42:39

1 Scaling the Daylite Apple-Native CRM Using Elixir with AJ 52:21

1 Creating the Castmagic AI-Powered Content Workflow Platform with Justin Tormey 35:40

1 Creating the Standd AI-Native Due Diligence Platform with Stephen Solka 48:44

1 Creating the WebAuthn Components Library for Phoenix LiveView Apps with Owen Bickford 57:32

1 Creating a Terrestrial Telescope using Nerves & LiveView with Lucas Sifoni 49:56

1 Creating a Local-First Offline-Enabled LiveView PWA with Tony Dang 48:18

1 Creating VintageCell: Nerves, PCBs, and GenStateMachine with Bryan Green 28:58

1 Creating the Igniter Code Generation Framework with Zach Daniel 52:55

1 Elixir Wizards X Thinking Elixir ElixirConf 2024 Hype-isode 59:50

1 "The Past is Your Teacher" with Alicia Brindisi and Bri LaVorgna 32:56

1 "So You've Been Hired" with Emma Whamond and Micaela Cunha 46:06

1 "From Inspiration to Execution" with Camber Griffin 45:03

1 "DevOps: From Code to Cloud" with Dan Ivovich 43:43

1 "Printing is Ugly" with Joel Meador and Charles Suggs 47:03

1 "Keeping it Fresh" with Bilal Hankins and Anna Dorigo 36:00

1 "Saga of a Gnarly Report" with Owen and Dan 50:21

1 "Whose Tailwind is it Anyway?" with Ava Slivkoff 48:17


1 "Discovery Discoveries" with Alicia Brindisi and Bri LaVorgna 43:26

1 "Testing 1, 2, 3" with Joel Meador and Charles Suggs 45:40

1 Creating a Language: Elixir vs. Roc with José Valim and Richard Feldman (Elixir Wizards X Software Unscripted Podcast) 1:09:04

1 Package Management in Elixir vs. JavaScript with Wojtek Mach & Amal Hussein 54:06

1 Communities in Tech with Camille Clayton & Scott Tolinski 48:19

1 Actor Model and Concurrent Processing in Elixir vs. Clojure and Ruby with Xiang Ji & Nathan Hessler 47:57

1 Static Code Analysis in Elixir vs. Ruby with René Föhring & Marc-André Lafortune 46:02

1 Web Development Frameworks: Elixir and Phoenix vs. Ruby on Rails with Owen Bickford & Dan Ivovich 41:41

1 Garbage Collection in Erlang vs JVM/Akka with Manuel Rubio & Dan Plyukhin 44:08

1 Machine Learning in Elixir vs. Python, SQL, and Matlab with Katelynn Burns & Alexis Carpenter 31:19

1 Embedded Systems in Elixir vs. C, C++, and Java with Connor Rigby & Taylor Barto 46:30

1 ECS / Game Development with Elixir vs. Python, JavaScript, React with Dorian Iacobescu & Daniel Luu 41:08

1 Learning a Language: Elixir vs. JavaScript with Yohana Tesfazgi & Wes Bos 42:14

1 HTTP Requests in Elixir vs. JavaScript with Yordis Prieto & Stephen Chudleigh 50:29

1 Season 11 Kickoff: The Hosts Discuss Branching Out from Elixir to Compare Notes 32:21

1 José Valim, Guillaume Duboc, and Giuseppe Castagna on the Future of Types in Elixir 48:32

1 Chris McCord and Jason Stiebs on the Future of Phoenix 58:12

1 Sean Moriarity on the Future of Machine Learning with Elixir 47:18

1 Hugo Baraúna & Lucas San Roman on the Future of the Elixir Community 50:48

1 José Valim on the Future of the Elixir Ecosystem 43:57

1 Saša Jurić on The Future of Training & Education in Elixir 46:27

1 Mat Trudel on the Future of Phoenix and Web Transports 48:05

1 Mike Waud and Tony Winn on the Future of Elixir on the Grid 42:41

1 Sophie DeBenedetto on the Future of Elixir and LiveView 51:08

1 Michael Lubas on the Future of Elixir Security 40:30

1 Cory O'Daniel and the Future of DevOps in Elixir Programming 45:45

1 Season 10 Kickoff: The Hosts Discuss The Future of Elixir 41:48

1 That's a Wrap: Season 9 Finale with Sundi, Bilal, Owen & Dan! 36:53

1 Marcelo Dominguez on Command and Query Responsibility Segregation 44:12

1 Chris Miller on Crafting a Programming Language 42:55

1 Frank Hunleth and Joe Martin on the Particulars of Nerves 45:13

1 Jenny Bramble on Testing and Collaboration at Papa 46:15

1 Harper Atlas on Tailwind From the Perspective of a Designer 39:54

1 Theo Harris on Onboarding into Elixir at Alembic 39:55

1 Ashley Smith & Kenneth Moy from Bowery Farming on Oban 38:30


1 Mark & David from Thinking Elixir on Ecto Queries 53:35




1 Looking back on Season 8 with Sundi, Owen & Dan 38:23

1 Nathan Retta on Engineering in Android at DoorDash 29:11

1 Cara Mitchell on Internal In-house eCommerce 44:41

1 Catalina Astengo on The Many Languages of Nav 42:48

1 Meks McClure on Communication, Diversity, and Ergonomics 45:35

1 Jessica Kerr on Systems Thinking for Developers 43:42

1 Digit on Smart Homes, EMPEX, and Cross-platform Development 42:58

1 Nathan Willson on the Polyglot Landscape in Japan 45:20

1 Sanne Kalkman on Coding, Crafting, and Collaboration 43:31

1 Cassidy Williams and Tobi Pfeiffer on Elixir Programming at Remote 1:00:36

1 Devon Estes on The Power of Functional Programming 48:07

1 Miguel Cobá on Deploying in Elixir and Other Languages 48:47


1 Arthi Radhakrishnan on the Value of Collaborative Learning for Software Engineers 45:33

1 Meryl Dakin on Changing Lanes and Switching Gears With Elixir 51:20

1 Brooklyn Zelenka and The Exciting World of Edge Computing 46:05

1 Sigu Magwa on the Elixir Community in Kenya 50:42


1 Speedcubing and Building Livebook with Jonatan Kłosko 45:17


1 Learning and Teaching Functional Programming with Adolfo Neto 47:53

1 The Benefits of Consistently Growing Your Toolset with Florian Kraft 48:52

1 Re-Platforming One of the Original Dot Coms in Elixir with Angel Jose 47:57



1 Mini-Feature Extravaganza featuring Tyler Clemens, Elom Amouzou, Elise Navarro, and Jeremy Neal 38:30

1 Delving Deeper into Magic with Quinn Wilton 44:54

1 The Bridge Between Elixir and Zig with Isaac Yonemoto 46:34

1 Maxim Fedorov on Building and Scaling WhatsApp with Erlang 50:13

1 Chelsea Troy on the Importance of Access and the Impact of Teaching 48:08

1 Testing Elixir with Jeffrey Matthias and Andrea Leopardi 56:18

1 Scaling and The Growth Curve with Francesco Cesarini 46:33

1 Bringing the Magic of Math into Programming with Chris Miller 54:11

1 The Controlled Magic of Oban with Parker and Shannon Selbert 50:21

1 The Right Amount of Magic with Erik Person 1:00:41


1 Adopting Elixir Finale with Sean Lewis, Anna Neyzberg, and René Föhring 1:01:39

1 Jenn Gamble on Data Science, Machine Learning, and Elixir 47:38

1 John Mertens on Adopting Elixir at Change.org 43:27

1 Sophie DeBenedetto on Programming Phoenix LiveView 48:20

1 Shaun Robinson and Toran Billups on Using Elixir to Empower Online Learning 50:45

1 Brian Howenstein on How ClusterTruck is Innovating Food Delivery 59:23

1 Yair Flicker on SmartLogic’s Origin, Evolution, and Elixir Adoption Process 55:46
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