|
Resources for PhD students in
AI/ML
Getting started
Advices (CS)
Background on AI
& Machine learning
- Gentle introduction:
- Formal undegrad curicula: CMU
| Edinburgh
- Maths books
- AI books
- ML books
- Deep learning books
- Deep Learning by Ian
Goodfellow and Yoshua Bengio and Aaron Courville 2016.
- Dive into Deep by Zhang, A., Lipton, Z. C., Li, M., & Smola, A. J.,
2019.
- CV books
- NLP books
- Courses:
- AI impact in the world
- Cool videos
- Cool blogs
- Who is who and what they say:
- AI/ML research:
- AI/ML topics
- Reinforcement learning.
- NLP
- Computer vision
- Machine reasoning
- Safety AI and value alignment
- Consciousness
- Quantum ML
- Cognitive architecture
Advices (General)
Innovation,
creativity and futurists
Research methods, research skills and
dealing with PhD process and supervisors
Data science
Startups
Jobs, tech
industry & career advice
|