Sentences with phrase «data over theory»

Read more: The road to artificial intelligence: A case of data over theory; Robots are stronger, faster, more durable... and hackable

Not exact matches

Whatever roles philosophical and theological ideas played in the debates over heliocentrism, biological evolution, and the Big Bang theory, the scientific issues were eventually settled by more and better data and by considerations that were purely «scientific» in the modern sense.
Um, let's see here... the theory of evolution is based on factual data observed over time.
Dr. Schwab also points out that while numerous theories on PJK risk have been put forth over the years, few orthopedic centers have had enough data or resources to adequately study it.
The data supports a theory, first proposed in the late 1970s, that has been bolstered by increasing evidence over the past 10 to 15 years — that birds collect magnetic - field information through specialized receptors in the eye.
All evidence of the big bang, this remarkable edifice of theory and observation that we built up over the past century, that has produced this cockamamy universe but one that we think we understand very well, all the data is consistent with a single picture of the universe.
Using historical data from horizontal wells in the Barnett Shale formation in North Texas, Tad Patzek, professor and chair in the Department of Petroleum and Geosystems Engineering in the Cockrell School of Engineering; Michael Marder, professor of physics in the College of Natural Sciences; and Frank Male, a graduate student in physics, used a simple physics theory to model the rate at which production from the wells declines over time, known as the «decline curve.»
To check their theory, the researchers analysed data collected from Yahoo account holders through its search engine over a 12 - month period.
«All of these Cassini mission measurements are changing our view of the Saturnian system, as it turns our old theories upside down,» said Radwan Tajeddine, Cornell University research associate in astronomy and a member of the European - based Encelade scientific team that pored over the Cassini data and published a paper in the astronomy journal Icarus (January 2017).
Over three decades of continuous observation, data about the sun's magnetosphere has been used to test accepted theories about the structure of the sun and to create new ones.
I'm currently reading Ray Dalio's Principles where he describes the process of «backtesting» his theories over centuries of historical financial data to design the trading systems that enabled him to develop Bridgewater Capital into the world's most successful hedge fund.
Gather clues, review the data and come to fact - based theories using crime scene analysis techniques that were used over a century ago and continue to be used today to figure out the mystery.
My contention is even with the huge amount of data, there will still be alternative theories, information that might be material excluded, and fuzziness over whether a given investment action was wrong or not.
Set against today's data - processed landscape, the artworks in All Watched Over transform data into hidden messages, unifying theories, complex diagrams, and personal or cultural cosmologies.
The T2 and T2LT data points are averaged over altitude and (for the theory) the various models.
But we hear over and over again, «it hasn't changed, your theories are wrong, the reefs is in great shape, your data are bogus, you spend all your time in a lab in a city, etc.» And you know what; it gets frustrating.
In the light of urban environmental transition (UET) theory, this study explores the relationship between carbon dioxide (CO2) emissions, economic growth, urbanization and trade openness using updated Chinese data over the extended period (1971 - 2013).
This discussion was on the actual science of dendroclimatology and while there are some snide remarks on both sides, I don't see why that would deter anyone from coming here and getting down and dirty over theory or data.
In the Comment by Nuccitelli et al., they make many false and invalid criticisms of the CFC - warming theory in my recent paper, and claim that their anthropogenic forcings including CO2 would provide a better explanation of the observed global mean surface temperature (GMST) data over the past 50 years.
I've got a physical theory with cooboratung data that can explain why 2014 May turn out to be the warmest year on record and why the Pacific Ocean has been warming for over 50 years, with this year being the warmest Pacific of those 50 years.
Not that I have any data to the contrary of course, but on the theory that hotter air over time might cause the rural ground - air temperature difference to increase at T - min times and thus cause a greater inversion effect over time.
We will see that over the last several years, while correlations between CO2 and temperature exist in the data, much of the historical circumstantial evidence for AGW theory has gotten weaker, and we will cover «global dimming» and see if this effect makes the case for AGW stronger.
In a number of past posts over at Coyote Blog, I have noticed the phenomenon of published studies whose data does nothing to bolster the theory of anthropogenic global warming adding in a line or two in the article saying that «of course the author's support anthorpogenic global warming theory» in the same way movies routinely assure audiences that «no animals were hurt in the filiming of this movie.»
The data over the past decade is now solidifying in general agreement with theory.
So here is where I look at the data at its most reliable and deduce that energy out declined over the period showing up in the deep ocean — exactly as the theory would suggest.
I was taught that if your data was so poor that your margin of error overwhelmed your theory, you went back, re-designed your experiment and started over.
«Given the controversy over the veracity of climate change data,» Sammon wrote, «we should refrain from asserting that the planet has warmed (or cooled) in any given period without IMMEDIATELY pointing out that such theories are based upon data that critics have called into question.»
The models assume very small declines and increases (less than 1 % pp) in relative humidity at these levels over the same period (depending on height) so the data would be very inconsistent with the models and the theory.
I think the crux of the problem is that we don't have data over a long enough time span to adequately inform climate theory.
Safety in numbers will prove over time, I suspect, to be the first major theory based on objective data that can break down the double standard we all pedal under.
Plus on top of this, you consider all the data manipulation that GISS has nicely done over the years with historical climate data you realize the entire CO2 theory is crap.
Taking this data into consideration through the lens of Contrary Opinion Theory, the present stage could be a rally move to $ 820, from where another lateral market would consolidate the new cycle with new all time objectives over $ 1200.
We tested this theory using structural equation modeling of data collected from 335 families over a 4 - year period of time, from the target children's early adolescence into their middle adolescence.
Investment sales data bears out the theory that industrial will be king over the coming year.
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