# Beginner's resources for AI

## Beginner Friendly Resources
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Beginner friendly resources to start with the fundamentals of Deep Learning and Neural Networks, the work-horses behind the current AI revolution. Going through these resources is necessary before moving further.
- [Neural Networks by 3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)
- [The Deep Learning Book by Michael Nielson](http://neuralnetworksanddeeplearning.com/)
- [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (Apply for financial aid beforehand, simply fill the info, everyone gets it.)

## Further Resources

The field of machine learning is vast and has aspects varying from pure mathematics to software development. But one must get a basic idea of each aspect before moving forward. You are advised to cover the essentials at a high level before moving on to advanced topics. It is also not necessary to begin to move through the list in the order they are presented here.

For a detailed list of deep learning resources check out our [DL Topics](https://github.com/vlgiitr/DL_Topics) repository.

### Maths for AI
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ESSENTIALS:
- [Essence of linear algebra by 3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
- [What is Automatic Differentiation?
](https://www.youtube.com/watch?v=wG_nF1awSSY)

ADVANCED (optional):
- [Gilbert Strang lectures on Linear Algebra (MIT)](youtube.com/playlist?list=PL49CF3715CB9EF31D)
- [Statistics 110: Probability](youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo)
- [EE364A, Convex Optimization](https://www.youtube.com/playlist?list=PLoCMsyE1cvdXeoqd1hGaMBsCAQQ6otUtO)

### Basic Coding Skills

ESSENTIALS:
- [CS50 2022 - Lecture 6 - Python](https://www.youtube.com/watch?v=5Jppcxc1Qzc)

### Machine Learning

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ESSENTIALS:
- [Stanford CS229: Machine Learning Full Course](https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU)

ADVANCED (optional):
- [An Introduction to Statistical Learning](https://www.statlearning.com/)
- [CORNELL CS4780 "Machine Learning for Intelligent Systems"](https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS)

### Deep Learning
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ESSENTIALS:
- [Neural Networks: Zero to Hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ)
- [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (Apply for financial aid beforehand, simply fill the info, everyone gets it.)

ADVANCED (optional):
- [Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021](youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)
- [Deep Learning for Computer Vision](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)