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 (finished)
4. Hands-On Large Language Models: Link

Computer Science 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
8. MIT 6.S191 - Intro to DL: Course Link
9. MIT 6.5940 - TinyML and Efficient Deep Learning Computing: Course Link

Cognitive Science Courses

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 Resources

1. Elements of AI: Link (finished)
2. Practical Deep Learning: Link
3. Deep Learning Book: Link
4. Dive into Deep Learning (D2L): Link
5. DeepLearning.ai: Link
6. Neural Network: From Zero to Hero: Link
7. Chaofa’s Blog: Link
8. Chaofa’s LLMs-Zero-to-Hero: Link