Made-With-ML
mlops-course
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Made-With-ML | mlops-course | |
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51 | 20 | |
35,291 | 2,645 | |
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6.8 | 2.1 | |
4 months ago | 8 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | 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-course
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Ask HN: Daily practices for building AI/ML skills?
coming from a similar context, i believe going top down might be the way to go.
up to your motivation, doing basic level courses first (as shared by others) and then tackling your own application of the concepts might be the way to go.
i also observe the need for strong IT skills for implementing end-to-end ml systems. so, you can play to your strenghts and also consider working on MLOps. (online self-paced course - https://github.com/GokuMohandas/mlops-course)
i went back to school to get structured learning. whether you find it directly useful or not, i found it more effective than just motivating myself to self-learn dry theory. down the line, if you want to go all-in, this might be a good option for you too.
- [Q] Any good resources for MLOps?
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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
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What are examples of well-organized data science project that I can see on Github?
- https://github.com/GokuMohandas/mlops-course (code for MLOps course)
- Made With ML β develop, deploy and maintain production machine learning
- What skills should I focus on to improve as a MLE?
What are some alternatives?
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
mlops-zoomcamp - Free MLOps course from DataTalks.Club
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
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
rmi - A learned index structure