---
title: "AIBridge"
type: concept
related: [Aibridge, Prof Xin Liu, Aifs]
source: https://www.jemoka.com/posts/kbhaibridge/
confidence: high
status: active
---

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&rsquo;all not introduce pandas? Closest to doing this without try/except:
slide 49: what is conc? is this too much recap time? Haven&rsquo;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() =&gt; str .readlines() =&gt; [str] the pauses feel a tad ackward? speak up! SSE squares and lines need to be darker: increase opacity 39 &ldquo;very common metric&rdquo; &mdash; not a metric motivate confidence value better; the &ldquo;middle&rdquo; 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
