Unlocking the Future of AI: My Journey Back to Machine Learning
After completing my Math Master program, I’m eager to dive deeper into Machine Learning (ML) and Deep Learning (DL). Here’s what I’m exploring:
- Background: Over a decade ago, I began my ML journey with Andrew Ng’s Coursera course.
- Current Interests: I have a strong foundation in math and computer science, particularly in graph theory and theoretical computer science.
- Courses & Resources:
- Considering fast.ai’s course, inspired by Yacine’s insights.
- Diving into “Hands-on Machine Learning” by Geron and “Hands-on LLMs” by Alammar and Grootendorst.
- Planning to complete Stanford’s CS224N and CS336 and CMU’s DL systems.
I’m focused on building intelligent systems like DeepProver and AlphaProof to enhance math research.
💡 Have you explored fast.ai? What are your thoughts? Let’s connect and share insights!
