How to pronounce “data science” in English

Take data science.

So data science, I feel like it's a new coined term that's been tossed around a lot as of late.

But the data science stuff was very self-taught.

I would do the data science thing, man, or I would do the-- I'm probably not smart enough to get into Google.

and doing programmation and data science.

to do with data science around media, data, and stuff.

We needed real data science and innovation.

the Facebook data science team knows more about this than I do.

at the data science world was happening at that individual level.

It should use modern data science techniques to exploit massive amounts of data that are collected from multiple sources.

It's essentially interesting data science around entertainment.

And so the Data Science Group looks at how data mining algorithms can be applied to these different areas.

and traditional machine learning As this customized data science becomes more widespread, companies, including small businesses, are going to get more efficient.

If you are starting into data science, I do have a sequence that I can recommend, which is if you want to learn Python,

there is a vast amount of data So I was confused if I am reading a data science book or an economics book

But this is like a part of data science education that would have been important, even if we didn't care about fairness.

has a QA process for data science.

which is Africa's first data science academy for women, designed to teach African women skills in data science, data engineering, and data

We decided to focus on data science because we felt like data is the next transformational trend in technology.

And we have a really great data science team.

And what the competition requested was for data science teams to look at this large public dataset and identify, based on this large public dataset, which women are

So the Hive is powered by data science, innovative technology, and creative campaigns and strategic partnerships.

Autonomic controllers need to be data-driven, and we can use modern data science techniques to help us build them to overcome

But I would argue that the data science-- as more generalized as computing as a universal machine, Turing-- is a more generalized tool then some

And we now actually have a data science team.

And so we could have just created this data science academy that's just like the rest.

Il est aussi enseignant au sein du Master Data Science de l'Essec et Centrale Supélec et il codirige également la chaire Humanités numériques

And it's also been helping us with some of our data science.

Again, the Facebook data science team knows.

We'd get some baseball people who were curious about data science.

And much of what's being said about data science these days has some eerie-- the language is a little bit more Elizabethan-- but this kind of,

And it's the black box nature of data science in making certain kinds of decisions.

And that actually points to the fact that it's not the supply of data science talent that's a problem.

And I've been working on a series of books that are about programming and data science and physical modeling.

But I'm definitely really interested in the machine-learning field and data science.

But I also think we are laying this groundwork with the backbone of data science that can also be applied to other organizations.

And the main point I want to get through to you is the use of data science, and data-driven techniques.

Their operations should be based on predictive computational models of things through data science,

But most astronomers are not very well equipped to deal with that kind of big data science.

So there's a big effort in astronomy to try to bring the techniques of data science and visualization more into the mainstream of how

So there's another kind of myth out there that the bottleneck in getting value from AI is the lack of data science talent.

So I guess one of my major questions was, where do you see data science and machine learning?

it's a little more common to see a Black woman than when I'm in any of my data science or computer science classes,

And all of this can be used for good, so the power of behavioral science and data science, for example, being able to detect depression

So there isn't an independent QA process in most companies for data science.

I am the founder of GitGirl, which is Africa's first data science academy for women.

So just by observation, she was able to figure out a lot of things using data science.

So that's a big, huge problem, where data science, I think, can help.

I'm happy to put you in touch with Sonia Timberlake, who is our director of data science who could maybe say some more about that.