#AI#ML#BigData
Artificial Intelligence & Machine Learning
Unofficial notes from two back-to-back courses at REDACTED on Machine Learning, Big Data, and Artificial Intelligence. The content is standard; the difference is the pace and style. Each course runs in a single week (two weeks total), so things move fast.
Format & pace Lectures jump around to quickly deliver the most dense parts, while I am left to fill in the gaps. It is a brutal (but practical) approach. Thus, if these notes feel scattered, that is by design.
What is not covered here (because I am lazy):
- Formal programming sections/labs (Prolog).
- Hadoop programming.
Prerequisites
- Set theory
- Multivariable calculus
- Basic algorithms and algorithm analysis
Lean notes. Minimal fluff. Yes, I am lazy.
Notes
Unofficial Notes From Postgraduate Course in ML/AI.