Made-With-ML
fake-s3
Our great sponsors
| Made-With-ML | fake-s3 | |
|---|---|---|
| 51 | 3 | |
| 35,656 | 2,940 | |
| - | - | |
| 6.8 | 0.0 | |
| 5 months ago | about 1 year ago | |
| Jupyter Notebook | Ruby | |
| MIT License | - |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Made-With-ML
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[D] How do you keep up to date on Machine Learning?
Made With ML
- Open-Source Production Machine Learning Course
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Advice for switching careers within analytics
- Develop a (simple!) ML project and apply MLOps best practices to it. Ask Chat GPT all of your MLOps questions. I've joined this MLOps community and it has been very helpful to know what path to follow in order to be better at MLOps, thanks to them I arrived at madewithml, but I haven't done it yet. But it covers all the MLOps side.
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Recommendation for MLOps resources
Hey, I’m also working in ML. Here’s a great resource: https://madewithml.com. Also, check out Noah Gift’s book Practical MLOPs.
- Ask HN: Resource to learn how to train and use ML Models
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Need help to find resources to learn ml ops
Try replicating this setup: https://madewithml.com/
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MLops Resources
madewithml
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Ask HN: How do I get started with MLOps?
There's a really nice website by Goku Mohandas called Made With ML. IMO it is the best practical guide to MLOps out there: https://madewithml.com
Incase you want to dive a little deeper, https://fullstackdeeplearning.com/course/2022/ is also something I have been recommended by folks.
- Resources for Current DE Interested in Learning Data Science
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Do organizations still need machine learning engineers?
madewithml is pretty sweet, especially the MLOps side of things. It'll give you good skills in how development in Python and deploying ML works.
fake-s3
- Where do I start to learn MLOPS?
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How to handle cloud resources in your application while running localhost
Something like Localstack, some ruby gems like https://github.com/jubos/fake-s3
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Userbase: tool to add end-to-end encrypted storage and authentication to an app in a few lines of code, 100% open source
Could also use FakeS3 in place of S3. S3 is used for file storage and optimizing database loading as databases grow, so Userbase isn't 100% reliant on it.
What are some alternatives?
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
mlops-zoomcamp - Free MLOps course from DataTalks.Club
userbase - Create secure and private web apps using only static JavaScript, HTML, and CSS.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
software-dev-for-mlops-101 - Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
Copulas - A library to model multivariate data using copulas.
20220726_Databricks_Demo_Transfer_Learning_with_MLflow - We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks