Made-With-ML
mlops-zoomcamp
| Made-With-ML | mlops-zoomcamp | |
|---|---|---|
| 51 | 26 | |
| 37,139 | 11,012 | |
| - | 1.0% | |
| 1.6 | 8.9 | |
| about 2 months ago | 25 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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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.
mlops-zoomcamp
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Wk 4: Deployment - MLOPs with DataTalks
However, let's focus on how to get the assignment done with.
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Wk 2 Experiment Tracking: MLOPs with DataTalks
Q1: Install MLflow Like before from your parent folder (MLOPS), create a wk2 sub-directory and navigate into it, download the scripts from here and then run the following:
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Wk 1: MLOPs with DataTalks
Recently joined the DataTalks 2024 cohort to earn a MLOps Certificate and essentially build on Machine Pipeline competencies. To complete the course are assignments that have to be completed every other week.
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Where do I start to learn MLOPS?
There is MLOps Zoomcamp course (which shows end-to-end MLOps process with open-source MLOps tools) https://github.com/DataTalksClub/mlops-zoomcamp.
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MLOps level 4 tooling
Yes, your point exact. I haven't found any quality ones to be honest. There is the coursera mlops course (i did complete this one) which covers tfx (and other services like kubeflow but only scratching the surface) but that seems to be an overkill for me and also very dependant on tensorflow. I have came across this lately https://github.com/DataTalksClub/mlops-zoomcamp (havent went through it in detail) which seems to cover a lot but still missing both the full picture example and i dont see e.g. A/B testing, canary there
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How to start with MLops
datatalksclub https://github.com/DataTalksClub/mlops-zoomcamp
- As an engineer moving into the DS field, I got my first job offer. Does it sound reasonable?
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MLOps Zoomcamp from DataTalks.Club 2023
DataTalksClub/mlops-zoomcamp: Free MLOps course from DataTalks.Club (github.com)
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What are some of the best courses to learn MLOps?
I found this one and also online events hosted by the MLOps community.
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MLOps classes recommendations (not theory behind how to build models, but on deployment and monitoring)
I think this course is a great one for practical MLOps. They have video lectures with homework https://github.com/DataTalksClub/mlops-zoomcamp
What are some alternatives?
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
data-engineering-zoomcamp - Free Data Engineering course!
Copulas - A library to model multivariate data using copulas.
fake-s3 - A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
huggingface-demos
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
mlbookcamp-code - The code from the Machine Learning Bookcamp book
mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.
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
ETCI-2021-Competition-on-Flood-Detection - Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
you-dont-need-a-bigger-boat - An end-to-end implementation of intent prediction with Metaflow and other cool tools