Sentences with phrase «data has a lot of problems»

I recognize that this new data has a lot of problems.

Not exact matches

She recommends saying something like, «My dream job would involve a lot of problem - solving, especially using data analysis.»

Artificial neural networks, computer programs that mimic the human brain, are great at learning patterns and sequences, but so far they've been limited in their ability to solve complex reasoning problems that require storing and manipulating lots of data.

I've had a few emails with Caroline Trapp who runs the diabetes program for Dr. Neal Barnard, and she finally admitted that there is virtually no data on thin diabetics, and recognizes that it presents a different set of problems since we don't have insulin resistance and instead appear to have insulin production problems, And you need a lot of insulin to metabolize carbs, whole grain or otherwise.

«There are a lot of issues related to technology in the district right now, and I would hate to penalize students and teachers for problems that are beyond their control,» she told LA School Report, referring to the myriad snafu's caused by the student data management system, MiSiS.

The problem is, it takes a lot of data to discover which keywords will produce the desired results and I had no way of generating and collecting that data.

Beyond TransUnion's public statements, this is the other way we can observe that there is a data set problem: for the researchers» «peer - to - peer» data set on these loans to have been so large, the data must have actually included lots and lots of traditional finance company data.

Also lots of people going all digital already so don't see the problem... If you don't want to rent games and / or are worried about your (3rd world) data caps this service is not for you so I don't see why MS would need to cater to that silliness!

Other players report having encountered the same problem after downloading 50 GB or 92 GB of the data, a situation that is creating a lot of complaints from the community.

These reanalysis timeseries are homogenous in that the model is the same all the way through (which is not the case for the analysis), however, they may still have residual problems because of data source changes through time (particularly at around 1979 when a lot of satellite data started to become available).

Afterall, according to CRU «many stations do not have complete records for the 1961 - 90 period», yet they had no problem constructing elaborate methodologies to interpolate lots of historical data from those incomplete records?

I'd have invited a lot of statistics grad students and post-docs as well as the dendros and then asked the dendros to describe their data, all the problems and issues; so that maybe some young statisticians with a clean slate looking for interesting problems would get interested.

If I'd been organizing the Paleo Challenge workshop, I'd have invited a lot of statistics grad students and post-docs as well as the dendros and then asked the dendros to describe their data, all the problems and issues; so that maybe some young statisticians with a clean slate looking for interesting problems would get interested.

I have a similar attitude to other Team studies purporting to show that the modern warm period is warmer than the MWP — I don't think that they've proved this using their data and methods, each study having slightly different problems, but the high degree of linkage between Team studies in terms of proxy selection means that a couple of problem proxies (e.g. bristlecones) can affect a lot of studies that are advertised as «independent».

Because the most of the code doesn't report run - time errors he may well have missed a lot of other data values that cause the same problem and have simply passed through the process as completely corrupted values.

We have a lot of other issues — measurement biases, problems with historical reconstructions, role of the sun, etc — but this chart highlights the central problem — that catastrophic warming forecasts make no sense based on the last 100 + years of actual data.

A bit of data, a spreadsheet and an hour working the problem and I now need a lot of convincing that the beautiful bouncing balls have any real meaning.

Federal courts have a lot of sentencing data, but there is a big problem collecting the data and putting into a useable form.

The responsible use of that data brings up lots of regulatory problems, there's all sorts of violations of possible agreements they had made with the government before...

We have seen more than dozens of heart rate monitors launched this year, but problem is that a lot of these options have been unable to deliver accurate heart rate data metrics, partly because those sensors have to maintain contact with your skin.

It turns out, a lot of the crashing issues were stemming from people who had the mobile app installed on their SD card, which can cause problems with pulling cache and data from the site (SD cards are slower than main memory; Personally, I don't recommend installing main apps on the SD card).