AIBridge

AIBridge is an introductory AI bootcamp developed and taught by Prof. Xin Liu, yours truly, and Samuel Ren in collaboration with AIFS.

AIBRidge Notes

• Pause [more] to allow some time to see if people follow
• did y’all not introduce pandas?

Closest to doing this without try/except:

• slide 49: what is conc?
• is this too much recap time? Haven’t we been recapping for a long while already?
• probably good to mention what is /content/iris.data, also, just opening from ./iris.data should work and will be probably more ergonomic
• read function confusion
  • .read() => str
  • .readlines() => [str]
  • the pauses feel a tad ackward?
  • speak up!

• SSE squares and lines need to be darker: increase opacity 39
• “very common metric” — not a metric
• motivate confidence value better; the “middle” question makes sense
• I think its actually probably good to explain cross-entropy in the future
  • (i.e. its not a lot of fancy math + I think it provides a lot of intuition w.r.t. one-hot encoding, probablitiy distributions, etc.)
• Problem with how I made the old slides: multi-Class classification (1va, ava, etc.) needs better motivation before, otherwise throwing three classes on the screen is a tad confusing
• motivate that the whole random.seed business is so that the whole class can compare answers more effectively
• LogReg = LogisticRegression(), typically, name instance variables as lower snake case; so maybe call it my_log_reg or something