ML-For-Beginners
awesome-machine-learning
ML-For-Beginners | awesome-machine-learning | |
---|---|---|
28 | 12 | |
66,908 | 63,555 | |
3.5% | - | |
7.6 | 7.6 | |
20 days ago | 6 days ago | |
HTML | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
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?
awesome-machine-learning
- FLaNK Stack Weekly 12 February 2024
- Good coding groups for black women?
-
Recent Google layoffs and Go
Nope! Here’s a link for more info —-> https://github.com/josephmisiti/awesome-machine-learning
- A python program that adds ~700 Results to Watch Later or YouTube Playlist; or, if on Google, bookmarks or Reading List
- I want to learn more about AI and Machine Learning
- Complete beginner looking for a proper starting point
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
2️⃣ Awesome Machine Learning
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How to Use the Maven Shade Plugin if Your Project Uses Java Platform Module System
Chips-n-Salsa
- How can I get into AI development?
What are some alternatives?
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
tails - This is the Tails composer package for Laravel. Easily fetch designs in your Laravel application that you design inside of the Tails Site/Page Builder.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
pycaret - An open-source, low-code machine learning library in Python
100-Days-Of-ML-Code - 100 Days of ML Coding
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
Machine-Learning-Algorithms - All Machine Learning Algorithms
pyVHR - Python framework for Virtual Heart Rate
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code
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]
Face-Recognition-One-Shot-Learning- - This project is based on Siamese Neural Networks & Triplet Loss Functions