\( \newcommand{\vect}[1]{\mathbf{#1}} \newcommand{\mat}[1]{\mathbf{#1}} \newcommand{\R}{\mathbb{R}} \newcommand{\E}{\mathbb{E}} \newcommand{\Prob}{\mathbb{P}} \newcommand{\T}{^{\top}} \newcommand{\norm}[1]{\lVert #1 \rVert} \newcommand{\abs}[1]{\lvert #1 \rvert} \newcommand{\ihat}{\mkern1mu\hat{\boldsymbol{\imath}}\mkern2mu} \newcommand{\jhat}{\mkern1mu\hat{\boldsymbol{\jmath}}\mkern2mu} \newcommand{\pd}[2]{\frac{\partial #1}{\partial #2}} \newcommand{\argmax}{\operatorname*{arg\,max}} \newcommand{\argmin}{\operatorname*{arg\,min}} \newcommand{\cdata}[1]{\class{c-data}{#1}} \newcommand{\cmodel}[1]{\class{c-model}{#1}} \newcommand{\ctruth}[1]{\class{c-truth}{#1}} \newcommand{\cgrad}[1]{\class{c-grad}{#1}} \newcommand{\closs}[1]{\class{c-loss}{#1}} \newcommand{\cparam}[1]{\class{c-param}{#1}} \newcommand{\csecond}[1]{\class{c-second}{#1}} \renewcommand{\,}{\mkern3mu} \)

A08 · Domain Casebooks

A free, illustrated L3 course of 8 modules in the Applied AI track. Modules include: Fraud and anomaly detection in transactions; Telecom and network analytics; Financial time series and risk.

A08 L3 · Advanced 8 modules · about 32 lessons Planned · Ring 3

Part of the Applied AI track. Ships in Ring 3 (Breadth) of the roadmap.

Modules

1. Fraud and anomaly detection in transactions
2. Telecom and network analytics
3. Financial time series and risk
4. Healthcare and clinical data
5. Geospatial and remote sensing
6. Scientific ML
7. Operations and supply chain
8. Public-sector and development data

Signature illustrations

The pictures a learner should still see in their head a year later:

One annotated system diagram and one data-flow diagram per case, cost-of-error matrices.

Status

This course is planned, not written yet. It ships with Ring 3 (Breadth).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.