之前的文章 有提過 AI 和 ML 的關係。
在這次的課程 How Google does Machine Learning 也再一次提起 ~~~

可見其 問題是滿常見的!

Google Team 的回答 : AI is a discipline.
AI has to do with theory and methods.
ML is a toolset

--> we can use machine learning to solve cetain kind of AI problems.

The basic difference between ML and other techniques in AI (for example,expert systems) is that in ML,machine learn. They don't start out intelligence,become intelligence.

Two stages of ML

supervised learning needs lots of data (Input/Output)
Input : Label (Answer)

Stage 1 : Train an ML model with examples => Training
Stage 2 : Predict with a trained model => Inference

兩者皆重要 => trainning 的目的為達成 Infering.

*machine learning end-to-end => putting ml models into production.
--> 實用 not only just for experiment

Ref :
Google Team