awesome-learn-gamedev
ML-For-Beginners
| awesome-learn-gamedev | ML-For-Beginners | |
|---|---|---|
| 11 | 28 | |
| 2,388 | 67,111 | |
| - | 2.7% | |
| 6.7 | 7.6 | |
| 5 months ago | 11 days ago | |
| HTML | ||
| Creative Commons Zero v1.0 Universal | MIT License |
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awesome-learn-gamedev
- Good coding groups for black women?
- An amazing list of all the game dev resources you will ever need
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How do you organize your learning resources (assets, tutorials, documents, tools)?
GitHub example
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Any suggestions on your favorite resources to learn the basic of game development?
I like this list of resources: https://github.com/notpresident35/awesome-learn-gamedev
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Should I go to school for a game design degree?
If you'd like to try doing it on your own - here is a very good resource for that - link(github)
- Want to start learning how to code so I can start getting into the gaming industry but don’t no where to start any advice ?
- estou querendo entrar na area da programaçao em jogos.
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Suggestions for videos and sources to learn about game development?
GitHub link
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Could one dedicated guy with enough time on their hands produce something that feels like an AAA experience?
I won't bore you with the details of the technical and creative skills for each role. I made this for that exact purpose: https://github.com/notpresident35/learn-awesome-gamedev Past that, the search engine is your best friend, but read books and take classes. Absorb meaty content, not tutorials. There's a reason it's called tutorial hell.
- To perdido
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?
YouTube_Channels - A comprehensive list of YouTube channels and other resources.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
books - Awesome Books
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
awesome-computer-science-opportunities - An awesome list of events and fellowship opportunities for Computer Science students
pycaret - An open-source, low-code machine learning library in Python
PhysicsExamples2D - Examples of various Unity 2D Physics components and features.
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
awesome-programming-books - List of good programming books for beginners and professionals
pyVHR - Python framework for Virtual Heart Rate
courses - Awesome Courses
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]