guide
ML-For-Beginners
| guide | ML-For-Beginners | |
|---|---|---|
| 2 | 28 | |
| 3 | 67,033 | |
| - | 2.6% | |
| 2.7 | 7.6 | |
| 12 months ago | 2 days ago | |
| HTML | HTML | |
| GNU General Public License v3.0 or later | MIT License |
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guide
- Citizen Science Skilling for Library Staff, Researchers, and the Public, published by the LIBER Citizen Science Working Group
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Book Launch: Citizen Science Skilling for Library Staff, Researchers, and the Public
Artwork and page spreads: https://github.com/cs4rl/guide/tree/main/artwork
ML-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
- How do I reset my career after already getting my masters?
What are some alternatives?
papis - Powerful and highly extensible command-line based document and bibliography manager.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
data-science-interviews - Data science interview questions and answers
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
pycaret - An open-source, low-code machine learning library in Python
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
pyVHR - Python framework for Virtual Heart Rate
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]
amazon-denseclus - Clustering for mixed-type data
rmi - A learned index structure
ai-seed - 1000+ ready code templates to kickstart your next AI experiment
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.