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Pop Now…like, right now! How to Pop Now? Download the Pop Now app.

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Start watching hundreds of free episodes, no account required. Log in with credentials from your participating TV provider to access even more full episodes, online movies and the on-air live stream. Stream full episodes, movies and web series. I only downloaded this app to watch schitts creek - I was in the middle of my first episode and my phone crashed and kept getting stuck on the startup screen.

I think there might be a problem with the ads which led to the crash. I only got the app to keep up with the new season of One Day at a Time, love how everything is free. I have had no issues with the app. Happy with the app. The design and layout could be better but that is just my taste. Absolute BS. Two thumbs way down. Requires iOS Compatible with iPhone, iPad, and iPod touch. Apple TV. App Store Preview. Description Pop Now…like, right now!

Mar 16, Version 1. New content, bug fixes, and performance improvements. Ratings and Reviews See All. Size 14 MB. Category Entertainment. Compatibility Requires iOS Languages English. Price Free.In a startup, technology is expensive and having a team to take care of that technology is even more expensive. To have all that taken care of with Ordering. It will take literally 3 min, just click here. Have the best day. I selected Ordering Co Initially because of their ability to work with the Goodcom Printers and their competitive price.

I have stayed with them as they have been very helpful as my system grows. I currently have over 60 takeaways using the system and hope to have 100 by the end of the year.

All your demos makes it much easier to understand and implement. New features are added swiftly and you listen to your customers. Every member of the team is reliable, trustworthy and effective. My business would not be moving in the right direction if it wasn't for Ordering Co. I love the flexibility of the software and its demonstrated ability to continually evolve and improve. There were several companies that I looked at that offered somewhat similar services, but after going through about four weeks of research, I could see that this companies' vision was bigger than where the other services were at.

My it guy at the time told me he saw potential in Ordering, but to go with someone more established, I told him that I believed in this company and that we could grow together. They also put a lot of effort in customer support and makes sure you get what you need in a short timeframe.

Which simply makes them the BEST. And many options for ordering food online. Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

Populations can be diverse topics such as "all people living in a country" or "every atom composing a crystal".

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Statistics deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments. Representative sampling assures that inferences and conclusions can reasonably extend from the sample to the population as a whole. An experimental study involves taking measurements of the system under study, manipulating the system, and then taking additional measurements using the same procedure to determine if the manipulation has modified the values of the measurements.

In contrast, an observational study does not involve experimental manipulation. Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e. Inferences on mathematical statistics are made under the framework of probability theory, which deals with the analysis of random phenomena.

A standard statistical procedure involves the test of the relationship between two statistical data sets, or a data set and synthetic data drawn from idealized model.

A hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis of no relationship between two data sets.We would definitely use Nordic Visitor again for another trip to Iceland. We took their 17 day Grand Tour of Iceland.

And they took care of our every want and need. From pre-planning to the last day of our visit, Nordic Visitor provided all of the assistance we needed. There is no other way to see the entire country and travel in the style to which you are accustomed. We stayed in the best hotels around the Island. We enjoyed our SUV with all-wheel drive.

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We visited all of the sights that we wanted to see. They provide you with a loaner cellphone so that you can contact them at any point on your trip to get their help. And we never used it. We had a detailed map with our route outlined, a gps that we used all the time, and other literature on the sights to see. We drove 2,000 miles over 17 days and, other than the roads, enjoyed every mile and every change of scenery.

We plan to return to Iceland in winter to see the Northern Lights and we will use Nordic Visitor to plan our visit. Best way to enjoy the amazing scenery of Iceland. Nordic Visitor's self-guided tour provides the car, hotels and useful tips.

They do everything to make the journey trouble free, easy and convenient. The hotel chosen were interesting and the tips on what to see were outstanding. Anita and Alexandra planned a perfect itinerary for us and answered all our questions. Everything went off perfectly from the gentleman who first met us upon our arrival at the airport, to the car rental, to the hospitality we received at each of the hotels.

The scenery (mountains, glaciers, geysers, rainbows, etc) was beautiful, the different hotels were excellent (we enjoyed the farm the best) and the included breakfasts were plentiful and delicious. We saw many animals(whales, reindeer, seals, birds, etc.

We have many fond memories from our time there and the 1,500 pictures we took. We are very pleased to highly recommend Nordic Visitor to all who want an unforgettable vacation in Iceland.Fast and lightweight, even including the star rating image. This plugin will not slow down your blog. Validates as valid XHTML 1. And much more Almost every new feature that has been added was due to the generous support and suggestions of our users.

Activate the plugin through the Plugins menu in WordPress admin. Create a WordPress page to be used specifically for gathering reviews or testimonials. Go into settings for WP Customer Reviews and configure the plugin.

This review plugin is super easy to use. Malicious action was not possible. We are reverting to using admin-ajax once again. We are trying a new method.

Translate into your languagebusinessgooglehcardhproductschema. Donate to this plugin About Blog Hosting Donate Support Developers Get Involved Learn Showcase Plugins Themes Ideas WordCamp WordPress. TV BuddyPress bbPress WordPress. One of the most powerful pages on your website is your testimonials page.

Great testimonials tell people that your product or service is not only legit, but awesome enough that other people are seeing great results from it.

The question is, how do you get believable testimonials. If you have a Facebook page and are setup as a local business, your page now comes with a Reviews tab. Simply slide this tab over into your visible tabs, and encourage your fans on your wall to go over and enter some reviews. LinkedIn can be a great source of reviews, extracted from your recommendations.

But what if you own a company with many employees. Why not encourage all of the employees to be active on LinkedIn. What is stronger than a text based review. How about a video of your customer talking about how your products or services have helped them. If you have a strong YouTube channel to begin with, people will be happy to be featured on it in exchange for their thoughts. A great example of a customer review video collection is the Experience LG channel above which has customer reviews for their home entertainment, home appliances, mobile phones, and computer products.

Local search directories such as Google Places, Yahoo Local, Yelp, Merchant Circle, and CitySearch allow members of their networks to write reviews about local businesses. If you have great reviews on these sites, you should share them on your testimonials page as well. Why would you want to steer your customers to writing reviews on these sites as opposed to writing a testimonial directly for your site. If you are trying to get Google search traffic to your local business, you would want your business to come up in the search with the most reviews.

Many local search directories are interconnected as well. Google gets reviews from Google users, as well as pulling in reviews from other local search sites like Yelp.

Merchant Circle allows member reviews and also pulls them in from Yahoo Local, CitySearch, and other sites as well. So what does your business need to do to start getting reviews on these sites. Claim and update your listings on them, for starters, and promote your listing directly on your website so customers know where to go to send their reviews.

So, considering all of the above mentioned sites that you can get customers to share their opinions on, what can you do to encourage them to create these reviews. This same strategy can be applied to online reviews as well. Offer your customers incentives for creating reviews.

Local search directories allow you to share coupons and discounts on their sites.Once an evaluation has been successfully created it will have the following properties.

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That is, each measure is computed with respect to each class, then the computed values are averaged to get the average measure. You can read more on macro vs. The full set of matrices is used to construct the rest of the measures. The first threshold is always nil, indicating the case where everything is classified positively. Ranking Measures measure the quality of the ranking provided by the classifier, as estimated from the performance at different operating thresholds.

The canonical curve of this sort is the ROC curve, which shows the false positive rate and the recall at each threshold. Note that the last threshold is nil, indicating the case where every is classified positively (the curve thresholds are sorted in the opposite order from the list of confusion matrices to maintain a non-decreasing ordering for the x-axis values of the curves).

A detailed result object for regression models has the following properties: Time series evaluations compare time series predictions (forecasts) against a test dataset containing true future time series values.

For each field in the test dataset corresponding to the objective fields in the time series model, BigML computes the point predictions using each of the field's ets models (including the trivial ets models), with a forecast horizon equal to the number of rows in the test dataset. A result object for time series models has the following properties: A detailed result object for time series models has the following properties: Creating an evaluation is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems.

The evaluation goes through a number of states until its fully completed. Through the status field in the evaluation you can determine when the evaluation has been fully processed. Once you delete an evaluation, it is permanently deleted.

If you try to delete an evaluation a second time, or an evaluation that does not exist, you will receive a "404 not found" response. However, if you try to delete an evaluation that is being used at the moment, then BigML. To list all the evaluations, you can use the evaluation base URL.

By default, only the 20 most recent evaluations will be returned.

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You can get your list of evaluations directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your evaluations. It is intended as an import for executable scripts. You can read the WhizzML Reference Manual for more information. You can also list all of your libraries. See WhizzML Reference Manual for more information.

Once a library has been successfully created it will have the following properties. This is the date and time in which the library was updated with microsecond precision. Library Status Creating a library is a process that can take just a few seconds or a few minutes depending on the workload of BigML's systems. The library goes through a number of states until its fully completed.

Through the status field in the library you can determine when the library has been fully processed and ready to be used. Once you delete a library, it is permanently deleted. If you try to delete a library a second time, or a library that does not exist, you will receive a "404 not found" response. However, if you try to delete a library that is being used at the moment, then BigML.

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To list all the libraries, you can use the library base URL. By default, only the 20 most recent libraries will be returned. You can get your list of libraries directly in your browser using your own username and API key with the following links.

A listing result includes all libraries in both production and development modes. It also includes read-only system library created by BigML. You can also list all of your scripts. To create a new script, you need to POST a string containing at least the source code to the script base URL.

All you need is a valid source code and your authentication variable set up as shown above.Your app uses this parameter to which bundle to promote to a particular user. Choose Purchase revenue from the list of goal metrics, and select any additional metrics you want to track, such as retention and daily engagement. Note that this event will not appear in the list until it has been logged once. Now that you have set up your predictions and experiments in the Firebase console, implement the promotion strategies from each of your experiment variants.

Realtime DatabaseUse Cloud Firestore and Realtime DatabaseOther Library IntegrationsAPI ReferenceAndroidiOS SwiftiOS Objective-CWebCloud FunctionsNode. Before you begin Before you can start using predictions to determine your app's promotion strategy, you must be using Google Analytics for Firebase in your app. Have sufficient event data volume for Firebase to make meaningful predictions. Typically, 10,000 monthly active users, 500 positive examples, and 500 negative examples provide Firebase Predictions with enough data.

Start predicting user spending The first step is to set up your Firebase project to start predicting your users' spending. Add a Remote Config parameter that corresponds to the spend prediction: In the Firebase console, click Remote Config. Create a new condition for this parameter that applies when spend is predicted. Then, set the value for the new condition to true and set the default value to false.

Create a new experiment: Choose your app from the list and specify how many of your users you want to include in the experiment. Define three variants: one for each promotion strategy.

Implement your promotion strategies in your app Now that you have set up your predictions and experiments in the Firebase console, implement the promotion strategies from each of your experiment variants.

Our users are playing hard to improve their accuracy by learning or searching some facts about match, their teams and the players who are playing. The first thing you need to do is to enable the trade so you can start selling your prediction and go on the next prediction research.

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Other app users will start trade with you to see your predictions. DeductionPrediction Guru will deduct the convenience fee in each trade i. Then You need to initiate Trade with Zonito (Accuracy: 42. If you have any question on how the app works check out the FAQs. SportsIpl2016TradeSellBuyBlockedUnblockFollowFollowingPrediction GuruPredict, Win and ShareFollowPrediction GuruPredict, win and share. Never miss a story from Prediction Guru, when you sign up for Medium. Please view our site in a different, standards-adherent browser such as Firefox, Safari, or Chrome, or upgrade your Internet Explorer browser to Version 8 or Version 9.

With 2016 moving into its closing stages, drupa a distant memory and reverberations still being felt from another successful Labelexpo Americas, the label and package printing industry is on the crest of a wave that promises to take it straight into a bumper Labelexpo Europe 2017. These developments will continue to take place as run lengths decrease, more versions and variations are required, time to market decreases, and ever-more complex and exciting label solutions are created.

It is all of these demands and pressure that will increasingly see label and package printing companies move rapidly towards ever more automation of both their administration and production process workflows, using sophisticated management information systems (MIS) that will be integrated with specialized inspection and color performance software and technology, through to fully automated press and finishing line set-up. In 2017, the European Flexographic Industry Association (EFIA) anticipates that the pace of change is not going to slow.

Technology is changing the way consumers are shopping and the internet has opened up myriad ways for consumers to make informed decisions about what they buy.Example: "fields": "(window Price -2 0)" label optional Label of the new field. Example: "label": "New price" Labels for each of the new fields generated. Example: "name": "Price" names optional Names for each of the new fields generated.

Example: "This is a description of my new sample" name optional The name you want to give to the new sample. This will be 201 upon successful creation of the sample and 200 afterwards.

Make sure that you check the code that comes with the status attribute to make sure that the sample creation has been completed without errors and that it is still available in the in-memory cache. This is the date and time in which the sample was created with microsecond precision. True when the sample has been created in the development mode. In a future version, you will be able to share samples with other co-workers.

It includes the fields' dictionary describing the fields and their summaries and the rows. A description of the status of the sample. This is the date and time in which the sample was updated with microsecond precision.

Each entry includes the column number in the original dataset, the name of the field, the type of the field, and the summary. See this Section for more details. A list of lists representing the rows of the sample. Values in each list are ordered according to the fields list. A status code that reflects the status of the sample creation. That is no categories are specified. A dictionary between input field id and an array of categories to limit the analysis to.

Each array must contain 2 or more unique and valid categories in the string format. If omitted, each categorical field is limited to its 100 most frequent categorical values. This field has no impact if the data type of input fields are non-categorical. Example: "This is a description of my new correlation" Global numeric field transformation parameters.

Example: false size optional The number of equal width bins.


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