ML-For-Beginners
rmi
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| ML-For-Beginners | rmi | |
|---|---|---|
| 28 | 1 | |
| 66,908 | 52 | |
| 3.5% | - | |
| 7.6 | 0.0 | |
| 18 days ago | over 3 years ago | |
| HTML | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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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.
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?
rmi
What are some alternatives?
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
google-research - Google Research
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!
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
pyVHR - Python framework for Virtual Heart Rate
fastai - The fastai deep learning library
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]
RadixSpline - A Single-Pass Learned Index