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How to learn knowledge in new fields?

How to learn knowledge in new fields?

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
  • 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:

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