We're All Data Scientists | Rebecca Nugent | TEDxCMU
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- เผยแพร่เมื่อ 18 พ.ค. 2017
- In her talk, Rebecca Nugent concentrates on the rise of Data Science and what it means for education at the bachelor's and perhaps master's level. She proposes that Data Science in many ways is actually "The People's Science" and that it has the ability to empower students and employees of all types of backgrounds including the humanities and social sciences. She claims it is a field that belongs to everyone and calls for everyone to seize the opportunity to become data scientists within their own fields/jobs.
Rebecca Nugent is a Teaching Professor and the Director of Undergraduate Studies in the Department of Statistics at Carnegie Mellon University. Originally from Texas, she received her PhD in Statistics from the University of Washington. She has spearheaded the rapid growth of the Carnegie Mellon Statistics Undergraduate program and the development of modern, interdisciplinary curriculum including serving on the National Academy of Sciences Committee for “Envisioning the Data Science Discipline: The Undergraduate Perspective”. Her research interests lie in the identification and extraction of meaningful patterns in high-dimensional data, techniques which she tries to apply daily to her own life.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx
It's true that we all do probability and statistics, on some level, in everyday life. But, a few tools (the normal distribution, a good understanding of error bars, Bayes' Theorem, etc.) can take us much farther. It would be great if the general public learned these skills, not necessarily for a career in data science, but just to make better decisions in everyday life and to improve policy decisions. I'm a physicist trying to make the tools that we use in research accessible to the general public. Just a few tools can be incredibly useful in making sense of the world around us.
she brilliantly articulates the subject.
Thank you. You just gave me the courage to believe in myself and continue in my path of becoming a Data Scientist
My son was tested in his junior year by the attorney generals office. His score determined he was unable to recognize middle school formulas, yet he was pushed through each grade. I contacted the attorney generals office because the public school system kept passing him without the skills and knowledge. My son has autism and it takes on average 4 months longer than other students for comprehension to happen. The attorney generals recommendation was a charter school. Honestly charter is the way. They give your child the time they need and there are many ways to go to school. It's fabulous.
Great talk that I very much resonated with. I even sent it to my mom who has her masters in childhood education and teaching and said too many times “I’m just not a math person.” There’s definitely something for all of us to learn in this conversation.
Finally, someone who speaks great English. She was raised by an English teacher.
There is a scent of deep learning in this talk
Love that Episode of Supernatural... oh and thank you for this video. Made me feel better in following this career path late in my career :D
Great speech. Thanks!
wow. Thank you
I missed a lot of necessary math skills by not going to high school. Today, I wonder if my life would be improved in some way if I had a rigorous understanding algebra or geometry. I suspect that I have some understanding from having to solve problems in my career, but have no concept of what I am missing. It would be good if data scientists whose "balloon never lands" heard this woman.
U r in a world full of opportunities.
Just search for a relevant course and u will definitely have one on edx, udemy, audacity, masterclass and on many other platforms.
Stay blessed
@@muhammadomer5301 The thing is, I would rather not. I do need to be more cognizant of the fact that numbers do exist. They insist.
Very interesting lecture!! It's interesting personally because I have a B.A. in English which when I was in H.S. I would have never foreseen happening. Math was my strong suit in H.S. While I do manage fairly well with my writing, on standardized tests, I still tend to do better with numbers than I do with verbal skills.
great!!
Love u
Excellent video. It appears, lol, that you've implied that, lol, Sam and Dean Winchester may be considered data scientists. If so, I think that's a very entertaining and awesome idea.
2024 😮
So, even cats are data scientists. There are cats on the street where I drive my car. When they cross the street they know that car could kill them. So, they look at it. And try to move when it is safe. When I speed up (to observe the reaction of the cat) the cat move faster toward the other side or return depending on the distance.
So, the cats can do math and statistics and can make a smart decision. So, according to you they are data scientists.
So I have a question. What make a data scientist a data scientist?
Yeah, I think her analogy is too simplistic. We do things like crossing the streets intuitively. But if someone want to program a robot to do the same I imagine it's very difficult.
The program is an abstract idea, like statistics and probabilistic models. Cat can't think this abstract concept (or that we know of), whereas a human with specific skill sets will be able to see and model the situations like she said. He/she can shift the intuitive situation of "crossing the street" into more concrete thinking models, so we can make observation, hypothesis, testable experiments and some conclusion. No cat can do this (or that we know of, 😅)
I think what she means is we are similar to machine learning models. After all, these models were designed to mimic how we think.