Sentences with phrase «in predictive»

Darkhorse Analytics, an Edmonton company that specializes in predictive analytics and data visualizations, has created a free online mapping tool for assessments in Vancouver, Edmonton and San Francisco.

«We will all start doing a better job in predictive modeling, sourcing leads and fully understanding the ROI of different emerging marketing activities.

To confirm differences in the predictive power of the profiles between men and women, we conducted an additional regression analysis with the full sample, including gender, all profile variables, as well as gender by profiles interaction terms (plus all control variables).

In an earlier report of type 2 diabetes (23), we showed that of three groups of variables included in a predictive model (demographics, disease status, and family characteristics), only disease impact and family financial stress were significant, independent contributors to both depressive affect and anxiety among both European - American and Latino patients, with family conflict resolution as a significant predictor only for European - American patients.

In addition, he holds a Master's of Science in Predictive Analytics from Northwestern University.

Similarities in predictive patterns emphasize positive effects of a stimulating HLE for young children's development, irrespective of the cultural specificity of dyadic bookreading.

Because lactate measurement offered no meaningful change in the predictive validity beyond 2 or more qSOFA criteria in the identification of patients likely to be septic, the task force could not justify the added complexity and cost of lactate measurement alongside these simple bedside criteria.

Megan Brown is a project director and data scientist with 10 years of experience in predictive analytics, data mining, and data visualization.

In predictive mode, you only need to press each key once for each letter of the word.

Samsung Gear Live ushers in the predictive powers of Google Now in smartwatch form, along with the LG G Watch, but the hardware design is easily the most predictable aspect of it all.

Senseye Limited, the leader in predictive maintenance software, announced it has raised # 3.5 million at the close of a Series A funding round led by MMC Ventures, a venture capital fund investing in early stage, high growth companies.

com This announcement appears as a matter of record only Senseye Raises # 3.5 M In Series A Funding Round Led By MMC Ventures Legal adviser: Commercial and technical due diligence provider: Tax adviser: C CloudOrigin This announcement appears as a matter of record only Surge Private Equity Completes Investment in Busy Bee Debt provider: Equity provider: Legal adviser: Due diligence provider: Senseye Raises # 3.5 M in SeriesA Funding Round led by MMC Ventures Senseye Limited, the leader in predictive maintenance software, announced it has raised # 3.5 million at the close of a Series A funding round led by MMC Ventures, a venture capital fund investing in early stage, high growth companies.

The analytics are powered by artificial intelligence (AI) tools developed in collaboration with Skopos Labs Inc., a software company specializing in predictive analytics.

The more mature legal departments also have substantial gains to be earned in predictive results through scenario modeling, data - driven forecasts and win - win pricing.

Some specific features to look for in predictive coding software include:

The plaintiffs demanded that their experts participate in the predictive coding process and the defense naturally objected.

This is the second year in a row that Ringtail has received top marks in the Predictive Coding Solutions category.

Scott Kane in Predictive Coding Technology Continues to Gain Traction in Legal Document Review provides an overview of the training and coding process.

Senseye Limited, the leader in predictive maintenance software, announced it has raised # 3.5 million at the close...

However, its application is primarily targeted at improvement of their internal systems, such as billing and document production, or in predictive analysis using AI software.

Second, while there is some belief, including by Judge Peck, that the technology used in predictive coding is «cheaper, more efficient and superior to keyword searching,» id.

In part, this is due to the recent approval rulings in the UK and Ireland, which have spurred increased interest in predictive coding among lawyers in Australia.

In the predictive sense, Lasso may work a bit better than L2 (gaussian prior) with a huge number of variables, but it is not favored for inference, that is, where the coefficients of the model are interpreted, because as a prior it is unnatural.

But statistics do play a role as well, as they do in predictive modeling generally.

Both of these recent studies are useful, but they are limited in their predictive capability, and especially in transferability of their conclusions and suggestions to other classes of compounds, which is simply because neither of these studies identified the fundamental molecular properties involved in determining a molecule's radiative efficiency and how these might be used to identify strategies for minimizing a molecule's radiative efficiency.

When compared to the Scharf / HAS / 7th grader model (i.e. a simple straight line with a slope defined by the 1979 - 1988 trend), it beats it in predictive skill, and wallops it in hindcasting, wherein the naive model with a slope of 0.5 C / 30 years predicts that in 1700 the temperature of the planet was 5C cooler than 2000, and in 1400 the temperature of the planet was 10C cooler, and yes, keep on going.

They are, therefore, essential to include in predictive biological models, such as doubled CO2 scenarios.»

In its enthusiasm to adopt innovative statistics - based solutions, the industry may be in danger of undermining the progress made in predictive maintenance to date, by driving an increase in «false positives» that, in turn, will result in increased Opex costs for operators.

In particular, Mann et al are correct to state that a negative value of RE can be statistically significant, they were well aware that this does not equate to reconstructive skill (the quote Alan provides from MBH98 continues: «In this sense, statistically significant negative values of b might still be considered questionable in their predictive or reconstructive skill.»)

These anomalies in our predictive model end up being one of two things: a bad adjustment by NCDC or a local area where our model does nt fully capture the climate with the current regressors.

This information will help to better represent these cycles in predictive models such as climate simulations.

Historical examples throughout the march of humanity to compare with the faith Western academics invest in the predictive ability of their numerical models (General Circulation Models or GCMs) would be a list of some pretty odd rituals.

So until the observations and the models agree, or until one or the other is resolved, it's very difficult for people — and for myself, of course — to believe in the predictive power of the current models....

Under deep uncertainty in predictive models, we should ask: What's the worst that can happen * Before * we have time to react.

These are standards that should apply to climate models that are being used in a predictive sense.

The same ideas can also be applied in designing validation experiments, where you choose test points that have low / high entropy in their predictive distribution.

The notion that a tool — an RCM — may possess shortcomings in its predictive skill, but simultaneously prove to be a valuable tool to support narratives that are relevant to policy making and spatial planning can in fact be extended to highlighting the difference between «climate predictions» and «climate scenarios».

To me these relatively recent studies allow us to assign much - needed probabilities to different emissions pathways — something that should be seen as a welcome reduction in predictive uncertainty).

I think we can safely reject GCM projections as lacking in predictive power.

Furthermore, methanesulfonic acid generated simultaneously in OSC oxidation will become a significant contributor to particle formation, which should be taken into account in predictive models of air pollution and climate and may be especially important in agricultural areas with significant OSC sources.

Gordon, I have a lot more faith in the predictive power of physics than I do in that of psychology.

This can lead to a decrease in predictive skill outside of that window, which is the actual target of the reconstruction.

It's better not to make the model unecessarily complex, otherwise adjusting model states for observations becomes cumbersome with a possible loss in predictive capability.

Concerning the topic of the «correct fitting function» and the errors of it: any assumption of a function fitting to a set of data is an implicit assumption of a class of physical models, and its value lies not in itself but in its predictive capability.

Focusing especially on anything in that which might enhance our solving the coming climate change catastrophe before it happens or enabling climate models to be enhanced in their predictive power.

13th September 2012 - Well, I think some of us may have been wrong in predictive the WiiU price as Nintendo revealed it to be 299 Dollars for the «Basic» system which will come... Read More

If you search for the phrases that came up in your predictive search testing, you'll find some amazing results.

No, Android 4.1 Jelly Bean will not have a keyboard that types itself based on your thoughts alone, but at least Google has announced an improvement in the predictive keyboard capability.

In predictive values for the end of 2012 and 2013 publishers will significantly shift towards non-traditional marketplaces such as newsstands, supermarkets, dedicated children stores and Internet stores.

Or are we still in predictive mode?