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
- Very quickly identify what the foundational knowledge is
- Build a personal curriculum to become an expert and avoid the trap of the expert beginner.
- Sprint hard the first 15-20 hours to impress initial memory, then decelerate to a more regular pace.
Reading Research Papers
Collect related resource
- 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?
- Read Title/Abstract/Figures
- Most information summarized in one or two figures
- Get a good understanding without reading much text
- Read the Introduction/Conclusions/Figures(again)
- Read all and skip math
- 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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