How to pronounce “data point” in English

Yeah, there's an interesting problem you get into with-- what's the granularity away at which you're sampling the winds.The data that you can get tends to average over both time and space, and so you can find a data pointsaying that the maximum wind at a certain height at a certain time of year is such-and-such meters

Now, the fact that that happened publicly wasn't correlated to 9/11, but what if it were?That data point, those three data points, are of value potentially to other people who were there.So, I can choose to share them or choose not to share them.

I mean, your intuition is a good data point when you're talking about interpersonal relationships.It's a data point that I sometimes ignore myself.But that is one.

And so I was like, OK.It's just one data point, whatever.And then I kept an eye on this.

Because you realize, oh my gosh, that thing I experienced is not just me.I'm a data point.And once you see that, OK, this is-- if I experience that bias, it is not personal.

So we designed the most simple algorithm, called the recency heuristic, which just predicts the next week's flu-related doctor visitsby the most recent data point.That's one week ago.

here, these simple algorithms, motivated by psychological research, predict the flu much betterthan big data. So here's a case where one data point can do better than big data.Right. So just to check my understanding, you're saying we had one approach, which is that we can develop these models that

It's an ensemble Asian-American-- it's Asian-- it's actually a global Asian cast, half of whom are Asian-American.And recognizing as a data point, if you will, the fact that it's been "Joy Luck Club," whichwas 25 years ago, was the last, like, mainstream studio-backed ensemble modern-day Asian-American family that was on screen, it's a big freaking deal

Any questions so far?For each data point in our dataset, we drop a Gaussian on top of it.

But it really is as much manual as it is automatic.So that's one data point.

So one option is to say, well, interpretability, it's like porn.I have a specific data point I want to change the output.

more likely to have a smartphone.Is that the right data point?And I see that.

is a binary value indicating it's either in the fail or the safe state.So for the data point J. And we compute the precision of the Ith classifier,that's indicated as PI.

And the problem with this is that both are true at the same time.There's a data point now that a lot of people are familiar with.

So bottom line, curate and check the ratings from an independent source, if possible.So that data point that you have doesn't jive with my reality.

For each data point, each combination of harvest proportion-- for example, say you have 20% harvest proportion and two centimeters

assumption is the last big data point that these elected officials have gotten, the previous election.

It also gives us another data point.

Understand the human being that created the data point, not just the data point they created.

This is my favorite ever data point, because while stress is unavoidable,

So that's a really important data point.

So this is going to be my definition of what a failure is.So at that point we classify each data point as either a fail, which I call the positive class,and safe, which is the negative class.

And each one of them is a data point.

Centuri. Each data point here shows the apparent speed of the star measured through the Doppler shift as a function

I know that's kind of a challenge to integrate that data point, but it's extremely interesting how beneficial compassion is, not only in terms

And so you can't aggregate that or like some data point right?

But I think when you understand that there is a data point underlying every single piece of information that you're seeing and hearing, that there's

He said, for each data point and end dimensions, I'll write a Gaussian-- a bell curve.

And I can do that on every single data point.

Now, one data point of one pitcher doesn't matter much.

And I drew this graph based on the data point from here and a data point from here, straight line.

Thinking about a time-- and I'm using again the data point of my children, and as I see them go through the gradee-- they

And then that is used to assess if the data point is an outlier or is normal, relative to the training data

Good to know. Good data point because I like it too.

America went to war over a statistic in a data point, and we saw the problems there.

But here's the big thing: every question and observation and data point that comes in through 311 is being tagged, and geotagged and mapped and categorized by the city.

happen in the future has a very tangible link to some data point that happened in the past?

conversations with individuals. That is a single data point.

I think that decision, you have to pull from a lot of data points.I mean, your intuition is a good data point when you're talking about interpersonal relationships.It's a data point that I sometimes ignore myself.

That's great. So for one data point, hopefully it pencils out.

10 trillion 10 trillion okay so first of all I'm this is the another data point that's very interesting to me if I asked

and that's what I'm going to be concentrating on today.So what I want to do in this talk is give you one data point towards this objectiveof achieving shifting from human- to data-driven techniques.

So now the prediction of failure now becomes a classification problem.And by applying the model you just evaluate the ensemble classifier for a particular data point.And then you interpret the result as the likelihood of a failure.

It did not come from me, but the data point blew my mind.

All that needs to happen is I need to get a new data point.

This is just one example, one data point, but she spoke to a lot of people at the end of their lives,

Same thing, GPA. GPA is a single data point.

But even if you think about that, two consultants You're more than just that single data point.

And again, you are so much more than any single data point.