A Quote by Jennifer Ashton
The fact that data is always evolving is a good thing. It means that science is continuing, and we are always learning.
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We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.
If we study learning as a data science, we can reverse engineer the human brain and tailor learning techniques to maximize the chances of student success. This is the biggest revolution that could happen in education, turning it into a data-driven science, and not such a medieval set of rumors professors tend to carry on.
A possibility of continuing progress is opened up by the fact that in learning one act, methods are developed good for use in other situations. Still more important is the fact that the human being acquires a habit of learning. He learns to learn.
I think the science around mental illness is always evolving. There's always new kinds of thinking.
We should always be suspicious when machine-learning systems are described as free from bias if it's been trained on human-generated data. Our biases are built into that training data.
For me, one of the highlights of being in the private equity world is that you need to learn a lot and very quickly about different businesses. So it's always a continuing learning experience where you can apply what you know, of course, by way of judgment and by way of numerical analysis. You're always investing in new businesses, which is a learning experience in itself. I think that is a wonderful thing and I think it makes for intellectual challenge and for continued personal growth. That, for me, is the highlight of this job.
Biases and blind spots exist in big data as much as they do in individual perceptions and experiences. Yet there is a problematic belief that bigger data is always better data and that correlation is as good as causation.
One of the myths about the Internet of Things is that companies have all the data they need, but their real challenge is making sense of it. In reality, the cost of collecting some kinds of data remains too high, the quality of the data isn't always good enough, and it remains difficult to integrate multiple data sources.
I thought clarity of communication was the most important thing in writing, and if you really cared about getting your idea across, you would say it in the most straightforward way possible. Later, in college and grad school, I came to realize that language is a technology like any other, and that it's always evolving - clarity of expression is always evolving.
I would love to do more science fiction. I always envisioned the Riddick franchise as a continuing mythology, so I always imagined that there would be many other films to follow.
Always do the right thing, always be exciting, always be encouraging, and always be learning something new.
There is never such a thing as learning too much. We can always delve deeper, and in fact we should!
Science is evidence-based and provides a continuing understanding of complex natural phenomena. Our understanding is constantly evolving and continually improving.
Alternative explanations are always welcome in science, if they are better and explain more. Alternative explanations that explain nothing are not welcome... Note how science changed those beliefs when new data became available. Religions stick to the same ancient beliefs regardless of the data.
The public has a distorted view of science because children are taught in school that science is a collection of firmly established truths. In fact, science is not a collection of truths. It is a continuing exploration of mysteries.
I was always really into the facts and figures and the statistics about nature and I always loved learning about it and having a new fact on hand. For me it was non-stop dirt, climbing trees and catching lizards and beetles. That was my thing as soon as I could crawl.
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