Made-With-ML
mlops-zoomcamp
Our great sponsors
Made-With-ML | mlops-zoomcamp | |
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51 | 23 | |
35,291 | 8,491 | |
- | 3.8% | |
6.8 | 8.1 | |
4 months ago | about 2 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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Made-With-ML
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Recommendation for MLOps resources
Hey, Iβm also working in ML. Hereβs a great resource: https://madewithml.com. Also, check out Noah Giftβs book Practical MLOPs.
- Ask HN: Resource to learn how to train and use ML Models
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MLops Resources
madewithml
- Resources for Current DE Interested in Learning Data Science
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Mlops roadmap
Good Reference: https://github.com/visenger/awesome-mlops (The Link above has so many Guides, It's insane) https://madewithml.com/
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How do you build CI/CD pipelines for ML projects?
You can check this site
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[Advice request] How on earth am I supposed to break into machine learning research as an undergraduate?
Great ways to get some experience in general ML: * https://kaggle.com/learn to up your skill-set, practice a bit, and improve breadth of knowledge in topics like deep learning and computer vision * https://huggingface.co/learn free NLP courses that will really beef up your skillset * https://madewithml.com - robust tutorials for the end-to-end deep learning MLOps process * https://roboflow.com/learn - intro course material and some advanced topics in computer vision; tutorial walkthroughs for model training: https://github.com/roboflow/notebooks
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[Q] Any good resources for MLOps?
Made with ML
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Open-source MLOps Fundamentals Course π
Find all the lessons here β https://madewithml.com/MLOps course repo β https://github.com/GokuMohandas/mlops-courseMade With ML repo β https://github.com/GokuMohandas/Made-With-ML
Hi everyone, Iβm the creator of Made With ML and I wanted to share that V1 of the open-source course is finally complete! We cover topics across data β modeling β serving β testing β reproducibility β monitoring β data engineering + more, all with the goal of teaching how to responsibly develop, deploy and maintain production ML applications.* π Project-based* π‘ Intuition (first principles)* π» Implementation (code)* π 30K+ GitHub βοΈ* β€οΈ 40K+ community* β 49 lessons, 100% open-source
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
- Guidance regarding Python practice for Data Science or Machine Learning
- Been working as a Jr. DE, but worried I am at a dead end.
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What are some of the best MLOps courses out there today (free or paid)?
MLOps Zoomcamp it's free and very pratical!!
- Resources to learn MlOps
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DevOps - where to begin?
MLOps Zoomcamp
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Where do I start to learn MLOPS?
PS... +1 on Made With ML, the Hugging Face course is great, and I've heard to a ton of good things about MLOps Zoomcamp
- DevOps into MLops crash course
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!
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.
Copulas - A library to model multivariate data using copulas.
ETCI-2021-Competition-on-Flood-Detection - Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
awesome-mlops - A curated list of references for MLOps
mlattacks - Machine Learning Attack Series
SBERT-for-Question-Answering-on-COVID-19-Dataset - Sentence Bert for Question-Answering on COVID-19 Open Research Dataset (CORD-19)
fake-s3 - A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies
stanford-cs229 - π€ Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford