My friend Tonya Alexeeva posted this on Twitter some day:
“Tomorrow begins my intensive one-week course on machine learning. I just realized I’m not used to make notes, but it would be great to revise this material later. Any tips for making notes for technical subjects and coding?”
I came across her tweet and gave a piece of advice on making notes during meetings and lectures. Here’s my perspective:
I don’t think there are any special tips for machine learning. No matter what subject you’re learning, techniques are pretty much the same. There’re dos and don’ts.
- Take notes not during the lecture, but in the first 30 min after it. This way you’ll be able to focus on listening and absorbing new information.
- Sketch anything that requires visual explanation. Images work better than abrupt and incoherent notes.
- Record a memo of the class to go back to something you’ve missed later.
- Don’t make screenshots or photos of the teacher’s slides. No one ever gets back to review them.
- Don’t try to remember and catch every minute detail. Pay attention to what brings novelty into your work, not what you already know.
- Don’t be afraid of asking questions like. “Why” is the best tool of gaining knowledge. Use it as more as you can.