Replacing heuristics

How do we get to the point where your company is innovating like this in ML?

A unique answer to the question of "what kinds of problems can
machine learning solve"

Eric Schmidt
Executive Chairman of the Board
Google

“Machine learning. This is the next
transformation… the programming
paradigm is changing. Instead of
programming a computer, you teach a
computer to learn something and it
does what you want.”

當談到 ML ，大部分的人都會想到 Data 。但奇怪點是 為什 Eric Schmidt 沒說到 Data ...
to replace programming , about logic , not just about data.

到底 Eric 想要告訴我們什麼?
以 Google Search 來說明 。

當 Search bar Search giants
搜尋結果 要回傳 SF giants 還是 NY giants 呢?

過去的 Google Search 是這樣做的，面對單一 Query 還可，但面對多個 Queries時，會更複雜，Hand write Code是難以去handle的!

try machine learning -> ML scales better because it is all automated.

[結論]
We(Google) think of machine learning as the way to scale, to
automate, to personalize. Think about all the heuristic rules you are coding up today;
provided you can collect the right data, you may be able to do it using machine
learning.

[Ref]

Google ML Study Jam