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第 11 屆 iThome 鐵人賽

DAY 9
1
AI & Data

Predicting Inter Bus Arrival Times 系列 第 9

Day 9 我要成為 Googler +3

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


上一篇
Day 8 我要成為 Googler +2
下一篇
Day 10 番外篇 : Cloud Summit 台北場線上直播
系列文
Predicting Inter Bus Arrival Times 30

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