I’m a firm believer in continuous learning and self-improvement, which has led me to explore a variety of resources for acquiring new knowledge and skills. Below are some of my preferred learning resources and tools that have significantly contributed to my growth. I hope you found these helpful too 🤗.
Programming and Development Link to heading
- Computer Science Self-Learning (GitHub): A self-study guide for mastering computer science from basics to advanced topics.
- Build Your Own X (GitHub): Guides for building various software and tools from scratch.
- Vim.org: The powerful text editor that supercharge your coding speed.
- GitHub: The best platform for working on open-source projects and collaboration tools.
- GitHub Copilot: An AI-powered code completion and debug tool that makes coding and your life easier, and its free for student :) .
Machine Learning and AI Link to heading
- Approaching (Almost) Any Machine Learning Problem (GitHub): Guidance on addressing a wide range of machine learning problems.
- Dive into Deep Learning (d2l.ai): An interactive book offering a thorough exploration of deep learning.
- Deep Reinforcement Learning Course (Hugging Face): A free course on deep reinforcement learning, providing foundational knowledge and practical exercises, best DRL course for beginner from my opinion.
Machine Learning In Finance Link to heading
- Machine Learning for Trading (GitHub): Resources for applying machine learning in the financial markets, great for beginner.
- Advances in Financial Machine Learning by Marcos López de Prado’s Explained why machine learning failed in quantitative finance, and the potential ways to fix it.
Community Link to heading
- Reddit: A vital platform to engage with experts across various fields to seek advice and feedback. The community is incredibly supportive, offering insightful comments and guidance on a wide range of topics.
Note: This page is regularly updated to reflect my latest explorations and discoveries in the field. Stay tuned for more!