Technical things

1. Linh Thanh Nguyen, “Diffusion models” (v1. July 2024)

2. Linh Thanh Nguyen, “Precision, Recall and F1 Score - All we need to know” (v1. April 2024)

3. Linh Thanh Nguyen, “Key takeaways about supervised learning in Supervised Machine Learning: Regression and Classification course, Deep Learning AI” (August 2023)

4. Linh Thanh Nguyen, “Key takeaways and quiz solutions in the Blockchain Specialization offered by The University at Buffalo and The State University of New York and Many useful Blockchain-related knowledge”, Github repository (March 2023)

5. McKinsey & Company, “The state of AI in 2023: Generative AI’s breakout year” (August 2023)

Scientific Research

1. Sebastian Ruder, “10* Tips for Research and a PhD” (Collected in January 2024)

2. Linh Thanh Nguyen, “How to develop your writing skills in the science: Myths and Lessons” (January 2024)

Study

0. How to study/work and manage time effectively?

• A detailed plan for a working day and a week
• Pomodoro method: studying for 45 minutes and taking a 5-minute break
• Feynman technique: explaining complicated problems in a simple way
• Active Recall & Spaced
• Regarding time management, I have got some key takeaways from Terence Tao’s blog post, which are shown/quoted as follows
  • Evaluate your work potential (a function of your location, your current level of motivation and energy, your upcoming duties and commitments, availability of resources, and the expected level of distraction) for a given period of time into the future.
  • Avoid to drop a task when it is only partially finished, without any good closure; it then either gets lost, or weighs on one’s mind and prevents one from fully thinking about something else.
    • Closure here is the desirability of being able to chop up an extremely long task into smaller, self-contained ones, ideally each with its own immediate “payoff”.
  • Handle tasks requiring less concentration in batches, while doing required-concentration tasks individually.
  • Seriously invest an amount of time on learning skills which are seemed to used repeatedly in the future (e.g., Using and knowing in details Pytorch/Tensorflow/Ethereum frameworks for coding and blockchain system configurations).
  • Abandon your own rules sometimes and allow for serendipity (Actually, I like this statement a lot and I actually found some interesting ideas during the time talking with my friends and colleagues, instead of a loop thought that I must work I must finish this I must finish that now).

Events

1. Here are my thoughts about the event, “5th cohort Science Foundation Ireland ADVANCE CRT Induction” (Jan. 2024)

Philosophy

1. Stoicism