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mrs fields chocolate chip cookies nutrition facts

My FatSecret. Food database and calorie counter Source: Member. Fields Chocolate Chip Cookies 34g. Is this information inaccurate or incomplete? Click here to edit. Last updated: 20 Jan 11 PM.

Calorie Breakdown:. Nutrition summary: Calories. Food Search.

Please note that some foods may not be suitable for some people and you are urged to seek the advice of a physician before beginning any weight loss effort or diet regimen. Although the information provided on this site is presented in good faith and believed to be correct, FatSecret makes no representations or warranties as to its completeness or accuracy and all information, including nutritional values, is used by you at your own risk.

All trademarks, copyright and other forms of intellectual property are property of their respective owners. Get the app. All rights reserved. United States. Food database and calorie counter. Nutrition Facts Serving Size. Nutrition summary: Calories Fat 8g.This will be 201 upon successful creation of the evaluation and 200 afterwards. Make sure that you check the code that comes with the status attribute to make sure that the evaluation creation has been completed without errors.

This is the date and time in which the evaluation was created with microsecond precision. Specifies the type of strategy that a model will follow when a missing value needed to continue with inference in the model is found. Either 0, 1, 2, or 3 to specify respectively whether the evaluation is from a single model, an ensemble, a logistic regression, or or a time series model.

By default it is based on the name of model, ensemble, logistic regression, or time series and the dataset used. NEW ordering filterable, sortable The order used to chose instances from the dataset to evaluate the model. In a future version, you will be able to share evaluations with other co-workers or, if desired, make them publicly available.

The result of the evaluation. Depending on the type of task performed by the model (i. Regression results are similarly formatted, but there is a mean predictor instead of a mode. See tables below for the result formats of each model type. A description of the status of the evaluation. This is the date and time in which the evaluation was updated with microsecond precision. A detailed result object with an entry per performance measure computed, a confusion matrix, and a break down of the performance measures per class.

Measures the performance of the classifier that predicts the mode class for all the instances in the dataset. Measures the performance of the classifier that predicts a random class for all the instances in the dataset. Measures the performance of the model that predicts the mean for all the instances in the dataset. A detailed result object with an entry per performance measure computed. Measures the performance of the model that predicts a random class for all the instances in the dataset.

See Coefficient of Determination. The name of this field will be the same as the corresponding objective field in the model. For each of the ets models in the time series for this objective field: A same name as the submodel, with the submodel's forecast.

A column, with name that of the submodel plus the suffix " - lower bound", with the lower bound of the error for the prediction. A similar column for the upper bound of the error. And, finally, a timestamp column, as an unix epoch in milliseconds. When comparing forecasting methods, the method with the lowest value is the preferred method.

See Mean Absolute Scaled Error. See Symmetric Mean Absolute Percentage Error. A status code that reflects the status of the evaluation creation. See the WhizzML category codes for the complete list of categories. Example: 1 description optional A description of the library up to 8192 characters long. Example: "This is a description of my new library" imports optional A list of valid library identifiers.

Example: "my new library" Code for the WhizzML library.Statistics continues to be an area of active research, for example on the problem of how to analyze Big data. Mathematical statistics includes not only the manipulation of probability distributions necessary for deriving results related to methods of estimation and inference, but also various aspects of computational statistics and the design of experiments. There are two applications for machine learning and data mining: data management and data analysis.

Statistics tools are necessary for the data analysis. Statistics is applicable to a wide variety of academic disciplines, including natural and social sciences, government, and business. Statistical consultants can help organizations and companies that don't have in-house expertise relevant to their particular questions. The rapid and sustained increases in computing power starting from the second half of the 20th century have had a substantial impact on the practice of statistical science.

Early statistical models were almost always from the class of linear models, but powerful computers, coupled with suitable numerical algorithms, caused an increased interest in nonlinear models (such as neural networks) as well as the creation of new types, such as generalized linear models and multilevel models. Increased computing power has also led to the growing popularity of computationally intensive methods based on resampling, such as permutation tests and the bootstrap, while techniques such as Gibbs sampling have made use of Bayesian models more feasible.

The computer revolution has implications for the future of statistics with new emphasis on "experimental" and "empirical" statistics. A large number of both general and special purpose statistical software are now available.

Traditionally, statistics was concerned with drawing inferences using a semi-standardized methodology that was "required learning" in most sciences. This has changed with use of statistics in non-inferential contexts.

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What was once considered a dry subject, taken in many fields as a degree-requirement, is now viewed enthusiastically. Statistical techniques are used in a wide range of types of scientific and social research, including: biostatistics, computational biology, computational sociology, network biology, social science, sociology and social research.

Some fields of inquiry use applied statistics so extensively that they have specialized terminology.

mrs fields chocolate chip cookies nutrition facts

These disciplines include:In addition, there are particular types of statistical analysis that have also developed their own specialised terminology and methodology:Statistics form a key basis tool in business and manufacturing as well. It is used to understand measurement systems variability, control processes (as in statistical process control or SPC), for summarizing data, and to make data-driven decisions.

In these roles, it is a key tool, and perhaps the only reliable tool. Template:Sisters project links From Wikipedia, the free encyclopedia Jump to: navigation, searchFor other uses, see Statistics (disambiguation).

Stanford Encyclopedia of Philosophy. Statistics for the Twenty-First Century. Washington, DC: The Mathematical Association of America. Investigating Statistical Concepts, Applications, and Methods (PDF). Handbook of stochastic analysis and applications.

Theory of statistics (Corr. BMC Med Res Methodol. Modern Epidemiology (3rd ed. Data analysis and regression.

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The knowledge needed to computerise the analysis and interpretation of statistical information. In Expert systems and artificial intelligence: the need for information about data. Cartography and Geographic Information Science.

Choosing an analysis method. Measurement theory and practice: The world through quantification. The Cambridge Dictionary of Statistics.

Cambridge, UK New York: Cambridge University Press. In Pearsall, Deborah M. Journal of the American Statistical Association. How to Lie with Statistics. Studies in the history of statistical method.This is a list of predicted dates for events made by notable individuals or groups that would result in the extinction of humanity, a massive or total collapse of civilization, the destruction of the planet or even the entire universe.

This list distinguishes between two kinds of predictions, each listed in its own section: those associated with religion and those done by scientists.

mrs fields chocolate chip cookies nutrition facts

Most predictions are related to Abrahamic religions, with numerous predictions standing for or similar to the eschatological events described on their scriptures. Christian predictions typically refer to events like the Rapture, Great Tribulation, Last Judgment, and the Second Coming of Christ. Various scientists and scientific groups from around the world have theorised estimated dates for possible natural events which would potentially endanger life or existence on Earth, with the earliest predicted date being approximately 300,000 years from now.

From Wikipedia, the free encyclopedia Jump to: navigation, searchThis is a dynamic list and may never be able to satisfy particular standards for completeness. You can help by expanding it with reliably sourced entries. Archived from the original on January 13, 2013. Retrieved August 6, 2017. Journal of Greco-Roman Christianity and Judaism.

Archived from the original on August 6, 2017. Archived from the original on May 14, 2016. Archived from the original on February 27, 2011. Little Children Are Innocent, and All Will Be SavedGod, a Personage of TabernacleThe Life of the Savior, a Life of SufferingSecond Coming of Christ.

Retrieved Oct 16, 2016.

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Things to Comeand the Present European Situation" (Reprint). Watchtower Bible and Tract Society of New York. Archived from the original on August 9, 2017.

Retrieved August 9, 2017. Archived from the original on May 26, 2012.His website includes his College Basketball Ratings, a tempo based statistics system. Some statisticians have become very famous for having successful prediction systems. Other more advance models include those based on Bayesian networks, which are causal probabilistic models commonly used for risk analysis and decision support.

Based on this kind of mathematical modelling, Constantinou et al. What makes these models interesting is that, apart from taking into consideration relevant historical data, they also incorporate all these vague subjective factors, like availability of key players, team fatigue, team motivation and so on. They provide the user with the ability to include their best guesses about things that there are no hard facts available.

This additional information is then combined with historical facts to provide a revised prediction for future match outcomes. The initial results based on these modelling practices are encouraging since they have demonstrated consistent profitability against published market odds.

Prediction bots can use different amount of data and algorithms and because of that their accuracy may vary. In politics it is common to attempt to predict the outcome of elections via political forecasting techniques (or assess the popularity of politicians) through the use of opinion polls. Prediction games have been used by many corporations and governments to learn about the most likely outcome of future events.

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Predictions have often been made, from antiquity until the present, by using paranormal or supernatural means such as prophecy or by observing omens. Methods including water divining, astrology, numerology, fortune telling, interpretation of dreams, and many other forms of divination, have been used for millennia to attempt to predict the future.

These means of prediction have not been proven by scientific experiments. In literature, vision and prophecy are literary devices used to present a possible timeline of future events. They can be distinguished by vision referring to what an individual sees happen. The New Testament book of Revelation (Bible) thus uses vision as a literary device in this regard.

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It is also prophecy or prophetic literature when it is related by an individual in a sermon or other public forum. Divination is the attempt to gain insight into a question or situation by way of an occultic standardized process or ritual. Diviners ascertain their interpretations of how a querent should proceed by reading signs, events, or omens, or through alleged contact with a supernatural agency, most often describe as an angel or a god though viewed by Christians and Jews as a fallen angel or demon.

From Wikipedia, the free encyclopedia Jump to: navigation, searchFor other uses, see Prediction (disambiguation). NASA's 2004 predictions of the solar cycle, which were inaccurate (predicting that solar cycle 24 would start in 2007 and be larger than cycle 23), and the refined predictions in 2012, showing it started in 2010 and is very small. Do lunch or be lunch. The Penguin Press, New York, 534 p. Principles of Statistical Inference, Cambridge University Press. Predictive analysis: The power to predict who will click, buy, lie, or die.

Smoothing, Filtering and Prediction: Estimating the Past, Present and Future. Unscented filtering and nonlinear estimation. Sage Publications, London, 791 p, third edition.Determine which elements of your site pages serve as obstacles that prevent visitors from scrolling down your page and optimize your site as you see fit.

The mobile market is big. So big, in fact, that Google is still figuring out how to provide mobile users with a better search experience. A faster loading site means more chances to retain visitors.

While there is also interest in spending on mobile ads as the figures from eMarketer show, Google will soon take a more crucial role in delivering content to mobile users, starting with app store optimization.

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Originally, apps are indexed on App Store and Google Play, not on Google search. Through App Index, apps are now indexed on Google search. The search ranking of apps falls under the App Pack or Deep Link category. Below is a comparison of app rankings on mobile search. The image is taken from this extensive article about App Indexing at Search Engine Land.

App Indexing brings in millions of additional search results for search queries on Google mobile search. This means that webpages ranking for their target keyword will have to fight of million of app pages that are optimized for their keyword as well. As if the competition is not stiff enough. How to rank for mobile search results after App Indexing: Instead of fending off app results for your target keyword, why not consider developing an app for your business.

mrs fields chocolate chip cookies nutrition facts

If you do not have an app for your site yet, consider building one to take advantage of the benefits App Indexing brings, in particular, its deep links. Choosing the best mobile app development services is just half the battle.

The other half involves developing a solid foundation for your mobile app and the goal you wish to achieve in developing it.

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Identifying both should provide you a more strategic approach with your mobile app in line with meeting your online goals. Once you have a mobile app in place, you can begin implementing the steps on how to get your deep app screen indexed on search results by referring to this straightforward documentation from Google. The process can be arduous for non-developers, so you may want to ask for help from an expert regarding this. Google released their latest 160-page search quality guidelines.

The last previous published was the abridged version two years ago that was a reaction to the leaked versions from 2008, 2011, and 2012 (notwithstanding the 2014 version) for the purpose of transparency. By building your expertise and knowledge in your industry, you can establish your authority as a subject matter expert, thus earning the trust of your audience.

You can start by launching an influencer marketing campaign to establish your online visibility.

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From there, you can slowly build yourself as an authority based on different factors such as your site's Domain Authority, social proof (testimonials from customers and social media shares), and blog comments, among other factors.

Thanks to Christopher Jan Benitez for sharing their advice and opinions in this post. Christopher Jan Benitez is a professional content marketer and writer. He has helped small businesses achieve their goals by implementing a strong content strategy that emphasizes their unique selling points and promoting created content using effective online channels and methods, in particular social media marketing and search engine optimization techniques.The retail journey is also changing from big box supermarket shopping to convenience driven multi-trip shopping patterns.

Ultimately this is opening up a range of opportunities for the print industry in offering pack and product personalization, customization and premiumization. Brands want to add value to their packs to create differentiation.

As a result of these trends, and confirmed by members and partners, EFIA is seeing a keen focus on stand out graphic design utilizing new tactile coatings and ink effects, as well as the use of complementary flexo and digital print systems to deliver short runs of customized packs.

Pack designs are being tested more regularly with sophisticated variable data to connect to digital marketing campaigns enticing the consumer. Further growth in retail ready or shelf ready packaging is also helping to deliver the in store stand out as well. The message is clear: the industry is not standing still. The pace of change is accelerating and the opportunities for industry growth are significant.

LED ink curing is set to grow substantially next year. Digital print has made product multi-versioning and label multi-language versioning easy and quick. While over 20 percent of brand owners we surveyed said they do not currently source digitally-labels, they nevertheless say they want their label converters to have digital capability on their production floor. European brand owners will also continue to demand higher quality at lower prices from their packaging suppliers, and are increasingly looking to the developing economies of, for example, Hungary, the Czech Republic, Poland and Slovakia as viable label sourcing channels.

What is more, our most recent Radar research confirms interestingly that more than 70 percent of them claim that they will not be migrating from self-adhesive labelling technology to another format over the next 12 months.

Sustainability will be a headline topic in the agenda of the entire supply chain. Waste management will be the prime concern of Finat and its sister associations around the world in 2017. If the European economy avoids a slowdown in 2017 there may be some catching up and consequently a good 2017 for labels and packaging.

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If sterling remains under pressure, the UK will suffer from cost-push inflation and possibly a recession. However, UK exports will be more competitive abroad, which could be good news, e. Within labels globally, we expect IML to be a key growth area and expect the leading players will roll out their expertise to new territories, building on existing multinational relationships with FMCGs which are penetrating new markets with premium products.

Jennifer Dochstader, managing director, LPC2016 was a pivotal year for the label printing industry. During Labelexpo Americas, we witnessed the unveiling of a new generation of entry-level digital production presses that allow converters to move into the digital print space at viable price points.