Pure AI外,也可以看看AI+science

本帖於 2025-07-08 09:34:35 時間, 由普通用戶 RomaVacation 編輯
回答: 娃以後想搞AI,大學該學啥專業?年輪2025-07-08 08:33:16

https://www.schmidtsciences.org/

https://datascience.uchicago.edu/events/ai-science-summer-school-2025/ 

ICLR ICML NeurIPS all have turotials and workshops for AI in science or AI + science. 

 

ChatGPT answer:

If your kid is interested in an AI career, here’s a clear roadmap of college majors and classes that will prepare them well, based on current industry and research trends.


Ideal College Majors

  1. Computer Science (CS) – Most direct path.

  2. Mathematics / Applied Math – Excellent foundation for theoretical AI.

  3. Electrical Engineering / Computer Engineering – Especially for robotics, hardware, or embedded AI.

  4. Data Science / Statistics – Useful for machine learning and data-driven AI.

  5. Cognitive Science / Neuroscience – Good if they’re curious about AGI or human-inspired AI.

  6. Physics – Strong for those interested in research or algorithm design, especially theoretical AI.


Core Classes to Take

AI & ML Core

  • Intro to Artificial Intelligence

  • Machine Learning

  • Deep Learning

  • Natural Language Processing (NLP)

  • Computer Vision

Programming & Software

  • Intro to Programming (Python preferred)

  • Data Structures & Algorithms

  • Software Engineering

  • Databases

  • Operating Systems (optional but helpful)

Math Foundations

  • Linear Algebra (crucial for neural networks)

  • Probability and Statistics

  • Calculus (I–III)

  • Discrete Mathematics

  • Optimization Theory (great for model training)

Theory

  • Theory of Computation

  • Information Theory

  • Numerical Methods

Data & Systems

  • Data Science

  • Big Data Systems

  • Cloud Computing (for ML deployment)


Bonus for Research-Oriented Students

  • Research Seminars or Independent Study

  • Capstone Project or Thesis in AI

  • Mathematical Logic or Functional Analysis (for those deeply interested in theory)


‍ Real-World Prep

  • AI/ML internships (summer)

  • Open source AI projects (GitHub)

  • Hackathons and competitions (e.g., Kaggle)


Let me know your kid’s current level or strengths (e.g., math vs coding), and I can tailor the course list better.

 

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