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start-machine-learning-in-2020
| Learn | start-machine-learning-in-2020 | |
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| 1 | 23 | |
| 6 | 1,426 | |
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| 1.8 | 6.3 | |
| over 3 years ago | over 2 years ago | |
| - | MIT License |
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start-machine-learning-in-2020
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The most useful (and free) resources for learning AI + my tips & recommendations
A Complete Roadmap for Beginners in Machine Learning in 2021+ many valuable resources for any data scientist / AI workers or enthusiasts + how to stay up-to-date with news The complete article with all my tips: https://www.louisbouchard.ai/learnai/
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I recently started fiddling around with GPT 3, and Iām looking for books that will help me on my journey. Any recommendations?
Here's the guide for machine learning with many interesting books: https://www.louisbouchard.ai/learnai
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A Complete Roadmap for Beginners in Machine Learning with many valuable resources for any AI workers or enthusiasts + how to stay up-to-date with news
All the links on GitHub: https://github.com/louisfb01/start-machine-learning-in-2020
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How to start learning AI?
You can follow this guide to learn ai from nothing for free : https://www.louisbouchard.ai/learnai
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Barbershop: Try Different Hairstyles and Hair Colors from Pictures (GANs+)
Well I already have a guide I made for learning machine learning, but not GANs in particular. For machine learning in general and improve your skills you can check this out: https://www.louisbouchard.ai/learnai For GANs, i just read papers about it and implemented some, starting with pix2pix which was quite clear
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Looking for Resources
The guide: https://www.louisbouchard.me/learnai
- A friendly approach to maths and coding in ML (2021-updated)
What are some alternatives?
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projectlearn-project-based-learning - A curated list of project tutorials for project-based learning.
nexify.io - Develop your skills with programming courses, explained step by step, to learn by building things.
learn-monogame.github.io - Documentation to learn MonoGame from the ground up.
Awesome-Black-Friday-Cyber-Monday-deals - š¢ 2023 Deals Live - Black Friday & Cyber Monday, Christmas & Holidays Deals for Developers, Techies, & Entrepreneurs,
human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)
computer-sciences - Code bites from Computer Sciences @ Politecnico di Torino
awesome-by-example - š A curated list of example-based learning resources.
awesome-openbsd - A curated list of awesome OpenBSD resources
JuliaProgrammingForNervousBeginners - A course for people who are hesitant but curious about learning to write code in Julia.
internet-explorer - Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.