Name: データサイエンスの応用【データサイエンス101 (Applications of data science [Data Science 101])
Uploaded: 2021-01-14T06:36:06.000Z
Duration: 6 min 29 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

- I think one of the good new applications

Like in drug delivery or cancer treatment.

is how now companies can use all the information

was the high trending news of Pokémon Go.

- Google Search is an application of data science.

The Google Search, whenever we want to search anything.

So I think its all because of data science.

Whatever Google is now, it's all because of data science.

I think you can't look at a new technology

The ability to walk around and see things on walls

- So what has happened is that now the tools are available

people are applying them with not much diligence

which got reported in the newspapers is about the story

of a father walking into a Target store in the US

that the Target was sending mails to his teenage daughter

"for my teenage daughter to have a baby?"

but then the father returned two weeks later

saying he didn't know his daughter was pregnant.

Now the question is, how did Target know this thing

And what has happened is that they would look

at the purchasing behavior of individuals.

So if you're buying some sort of supplements or vitamins

then you know that this is the first trimester of pregnancy.

So they know what products to send to you

who bought those supplements were pregnant.

Now this is a great story about data science

and how data science can forecast and predict

And I find it disturbing and strange and odd

First of all, for every correct prediction,

you have hundreds of incorrect predictions

and no data scientist actually advertises

We only advertise and promote what we got it right.

But when we got it wrong hundreds of times we don't tell it.

Second thing is, that's an abuse of data.

That's basically not really not giving you much insight.

but someone could be purchasing the same material

So, and then the odds of getting it wrong

and the odds of getting false positives is much higher.

So I find it strange and I think it gives a false sense

into the fact that now that we can do predictive analytics

I think a good example is the Google Search.

at what people were searching on Google so flu symptoms.

before anybody else and they were able to predict it.

and they are correlated with some outcomes

字幕リスト動画再生

データサイエンスの応用【データサイエンス101 (Applications of data science [Data Science 101])

assume

opportunity

tremendous

symptom