rmi
ML-For-Beginners
rmi | ML-For-Beginners | |
---|---|---|
1 | 31 | |
52 | 69,689 | |
- | 0.7% | |
0.0 | 6.6 | |
almost 4 years ago | 15 days ago | |
Jupyter Notebook | HTML | |
Apache License 2.0 | MIT License |
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rmi
ML-For-Beginners
- A股大涨 - FAV0周刊#016
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A-Share Market Surge - FAV0 Weekly #016
Free Machine Learning Courses from Microsoft
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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?
What are some alternatives?
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
google-research - Google Research
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
pycaret - An open-source, low-code machine learning library in Python
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
pyVHR - Python framework for Virtual Heart Rate
RadixSpline - A Single-Pass Learned Index
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]