Collect, summary and adjust to get the following tutorial from multi-sources in Reference.

How to learn

1. Very quickly identify what the foundational knowledge is
2. Build a personal curriculum to become an expert and avoid the trap of the expert beginner.
3. Sprint hard the first 15-20 hours to impress initial memory, then decelerate to a more regular pace.

Reading Research Papers

• Not only paper
  • NIPS / ICLR / ICML
  • ML Subreddit
  • Paperwithcode
  • Arxiv
  • Medium
  • alphaxiv
  • Google scholar
  • Hugging Face
• Read a few of them and then decide which to read more
• Read again when you need it after first reading
• How many are need?
  • After read 15-20 papers, you get a good understanding of any field/topic
  • After read 50-100 papers, you get mastery in the area

How to read one paper/document?

1. Read Title/Abstract/Figures
   • Most information summarized in one or two figures
   • Get a good understanding without reading much text
2. Read the Introduction/Conclusions/Figures(again)
3. Read all and skip math
4. Read all and skip that don’t make sense

Deep understanding

• Maths
• Code
• Use it or realized it

Questions to Keep in Mind

• What did the authors try to accomplish?
• What were the key elements of the approach?
• What can you use yourself?
• What other references do you want to follow?
• Is there new idea?

Reference:

• Andrew NG’s video
• Learning to learn

This post is licensed under CC BY 4.0 by the author.