Cheng Guo’s List of References

Cheng Guo’s List of References

Books

1. Machine Learning with PyTorch and Scikit-Learn Link
2. Machine Learning Q and AI Link
3. Build a Large Language Model (From Scratch) Link
4. Hands-On Large Language Models Link

University Courses

1. Stanford CS224n - NLP with DL Course Link | YouTube Link
2. Stanford CS224w - ML with Graph (GNN) Course Link | YouTube Link
3. Stanford CS224u - NLU Course Link | YouTube Link
4. Stanford CS231n - DL for CV Course Link | YouTube Link
5. Stanford CS330 - Deep Multi-Task and Meta Learning Course Link | YouTube Link
6. Stanford CS336 - Language Modeling from Scratch Course Link | YouTube Link
7. MIT 18.06 - Linear Algebra Course Link | YouTube Link

Coursera

1. From Nand to Tetris (Part I): Link
2. From Nand to Tetris (Part II): Link
3. Microsoft Python Development Professional Certificate: Link
4. DeepLearning.ai: Link

Cognitive Science

1. Computational Neuroscience: Link
2. Human Behavioral Biology: Link
3. MIT 9.13 - The Human Brain: Link
4. MIT 9.003 - Brains, Minds and Machines: Link

Other Courses

1. Elements of AI: Link (finished)
2. MIT 6.S191: Link
3. Practical Deep Learning: Link
4. Neural Network: From Zero to Hero: Link
5. Chaofa’s LLMs-Zero-to-Hero: Link

Other References

1. Deep Learning Book: Link
2. Dive into Deep Learning (D2L): Link
3. Vizuara AI Lab: Link
4. Chaofa’s Blog: Link