practical-mlops-book
[Book-2021] Practical MLOps O'Reilly Book (by paiml)
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all (by microsoft)
| practical-mlops-book | ML-For-Beginners | |
|---|---|---|
| 1 | 29 | |
| 697 | 69,099 | |
| 6.5% | 0.9% | |
| 3.4 | 6.7 | |
| 3 months ago | 4 days ago | |
| Jupyter Notebook | HTML | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
practical-mlops-book
Posts with mentions or reviews of practical-mlops-book.
We have used some of these posts to build our list of alternatives
and similar projects.
ML-For-Beginners
Posts with mentions or reviews of ML-For-Beginners.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-07-16.
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Top Github repositories for 10+ programming languages
Machine learning for beginners
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Good coding groups for black women?
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
- FLaNK Stack Weekly for 20 Nov 2023
- ML for Beginners GitHub
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is it worth learning NLP without master degree?
I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
- AI i Machine Learning
- I want to learn more about AI and Machine Learning
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Pocetak ML karijere
https://github.com/microsoft/ML-For-Beginners jel mislis na ovo?
- How could I have known
- GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
What are some alternatives?
When comparing practical-mlops-book and ML-For-Beginners you can also consider the following projects:
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.