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Need music for videos? Best deal of Get Instant Access. Motivational background music instrumental with epic cinematic feel for powerful inspirational video, emotional film, motivating presentation, inspiring speech, and commercial business use. New music added daily Sign up for weekly updates. Related Playlists. Inspirational Music For Video.Android send email without intent github
Motivational Music For Videos. Assign to folders Check the box to assing to a folder. Mood: InspiringUpliftingDreamyEmotional. Mood: InspiringUpliftingEmotional. Relevant Searches cinematicepicheroicinspirationalmotivationaluplifting. What is TunePocket? Exclusively for TunePocket newsletter subscribers.Motivating and inspiring music can feel very happy, emotional and moving.
People use motivational and inspirational music for gym work outs, studying, sports, speeches, life lessons, work and more. This genre of music may sometimes also goes well with weddings and love story films.
Motivating and inspiring music downloads listed below. Use this background music for videos, youtube, etc Full policy. Epic music that continuously builds motivation and intensity. This instrumental is very uplifting, positive and leaves room for a voice over. Emotional, motivating and inspiring music that moves you with a piano and strings. Slow and inspiring commercial music with voice over room. Happy feeling pop music with an inspirational touch. Epic music with touches of motivation and emotion.
Positive commercial pop with a trusted atmosphere. Emotional EDM with a strong beat and a touch of motivation. Emotional and cinematic documentary and motivational speech music. Inspiring and motivating TV commercial music, orchestral based. Join this track on an epic inspirational journey. Epic build up music with a very motivational feel. Emotional and epic film soundtrack instrumental.
Starry Dream was made to be epic inspirational background music. This epic track is for telling the story of a video game in the main menu. Sentimental slow dialogue voiceover music with a touch of motivation. Groovy rock and roll intro instrumental with a very upbeat feeling. Inspirational Advertising 1. Tears of Joy.To list all the centroids, you can use the centroid base URL.
By default, only the 20 most recent centroids will be returned. You can get your list of centroids directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your centroids.
When you create a new anomaly score, BigML. The closer the score is to 1, the more anomalous the instance being scored is.
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That is, how much each value in the input data contributed to the score. You can also list all of your anomaly scores. You can use curl to customize new anomaly scores. Once an anomaly score has been successfully created it will have the following properties. Creating an anomaly score is a near real-time process that take just a few seconds depending on whether the corresponding anomaly has been used recently and the workload of BigML's systems.
The anomaly score goes through a number of states until its fully completed. Through the status field in the anomaly score you can determine when the anomaly score has been fully processed and ready to be used.
Most of the times anomaly scores are fully processed and the output returned in the first call. These are the properties that an anomaly score's status has:To update an anomaly score, you need to PUT an object containing the fields that you want to update to the anomaly score' s base URL. Once you delete an anomaly score, it is permanently deleted. If you try to delete an anomaly score a second time, or an anomaly score that does not exist, you will receive a "404 not found" response.
However, if you try to delete an anomaly score that is being used at the moment, then BigML. To list all the anomaly scores, you can use the anomalyscore base URL. By default, only the 20 most recent anomaly scores will be returned. You can get your list of anomaly scores directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your anomaly scores. Association Sets are useful to know which items have stronger associations with a given set of values for your fields.
The similarity score then is multiplied by the selected association measure (confidence, leverage, support, lift, or coverage) to create a similarity-weighted score and finally return a ranking of the predicted items.
You can also list all of your association sets. You can use curl to customize new association sets. Once an association set has been successfully created it will have the following properties.
Creating an association set is a near real-time process that take just a few seconds depending on whether the corresponding association has been used recently and the workload of BigML's systems. The association set goes through a number of states until its fully completed. Through the status field in the association set you can determine when the association set has been fully processed and ready to be used.
Most of the times association sets are fully processed and the output returned in the first call. These are the properties that an association set's status has:To update an association set, you need to PUT an object containing the fields that you want to update to the association set' s base URL. Once you delete an association set, it is permanently deleted. If you try to delete an association set a second time, or an association set that does not exist, you will receive a "404 not found" response.
However, if you try to delete an association set that is being used at the moment, then BigML. To list all the association sets, you can use the associationset base URL.Thank you for the wonderful experience. I will share our trip with everyone and encourage them to use your company to book their travel. When we travel to the North again we will definitely use Nordic Visitor.
We had an amazing trip on the Glaciers and would thoroughly recommend the trip to anyone who visits Iceland. The guides where very help and tried their best for us to see a much as possible considering the weather which was out of there control, we did not mind that they re-arranged the scheduled stops.
Had a great experience, the people the places and the weather, would not be a visit to Iceland without the weather, the sunny mornings, the snow blizzards in the afternoon, the rugged beauty that brings you in to be part of the landscape, the whispering song that comes in on the wind that is Iceland, the calming melody (stay awhile and recharge), We truly appreciated the quick change of plans Nordic Visitor provided due to the weather on one of the days in the countryside.
The tour guides and employees were extremely friendly and professional. They accommodated us as best they could whenever we needed something. I would definitely recommend Nordic Visitor and this package to anyone. We spent 8 days in Iceland, with all our activities except 1 arranged by Nordic Visitor (including all transport and accommodation). Their service providers are as high quality as the company itself, and I would not hesitate to make use of their services again - in fact, I would not dream of visiting Iceland without them.
Booking the trip online with Nordic visitor was quite easy and manageable. Gudrun was very helpful with the whole process. Everything went smoothly from the pick up from the airport, with our accommodations, drive tour packet which was very informational (love the map and itenirary booklet), optional activities, and bus ride back to the airport.
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Christmas dinner was booked for us by Nordic Visitor also which was fantastic as we would not have found a restaurant open ourselves. We had the most amazing eight day trip in Norway organised by Sara Osk, our travel advisor at Nordic Visitor.
We had a lot of trouble deciding on which tour to do and Sara was very patient in answering our questions and provided excellent advice on what she thought would be the best tour for what we wanted and in the time we had. I couldn't have asked for more from Sara, she went above and beyond to help us, and I'm very grateful for all she did as everything ran so smoothly which no doubt made the trip more enjoyable. I could not have organised such an awesome trip myself all the way from Australia.
I wanted to go to Longyearbyen, the northernmost town in the world, on an island about 1,000 miles north of Oslo, Norway, in December.For these stores, adding exclamations can lead to a 83.
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You've successfully been subscribed - check your inbox weekly for marketing awesomeness. A customer review is a review of a product or service made by a customer who has purchased the product or service. Customer reviews are a form of customer feedback on electronic commerce and online shopping sites.Pluracol 2010
There are also dedicated review sites, some of which use customer reviews as well as or instead of professional reviews. The reviews may themselves be graded for usefulness or accuracy by other users. The reliability of customer reviews has been questioned. Since few sites restrict users to reviewing only items purchased from that site, it is difficult to prove a customer has actually used the product they are reviewing. Before the advent of the internet, methods by which customers could review products and services included customer comment boxes and customer service helplines.
These methods are still in existence today although internet review sites have grown significantly in recent years. One of the first review sites was Epinions, established in 1999. Humorous customer reviews are common on some major shopping sites, such as Amazon.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.
If pretty is enabled then this value acts as a maximum size, but the actual number of bins may be lower. Example: 12 trim optional A real number between 0 and 0. Default is 0, however, 0. Example: "width" edges optional A numeric array manually specifying edge boundary locations. If this parameter is present the corresponding field will be discretized according to those defined bins, and the remaining discretization parameters will be ignored.
Example: "width" category filterable, sortable, updatable One of the categories in the table of categories that help classify this resource according to the domain of application. This will be 201 upon successful creation of the correlation and 200 afterwards. Make sure that you check the code that comes with the status attribute to make sure that the correlation creation has been completed without errors.Best Aggressive Workout Motivation Music [+ Free Download Link]
It includes the field's dictionary describing the fields and their summaries, and the correlations. See the Correlations Object definition below. This is the date and time in which the correlation was created with microsecond precision.
The list of fields's ids that were excluded to build the correlation. The id of the field to be used as the objective for a correlations test. See the Objective Field Details. In a future version, you will be able to share correlation with other co-workers or, if desired, make them publicly available. This is the date and time in which the correlation was updated with microsecond precision. See Correlation Results Object. Each entry includes the column number in original source, the name of the field, the type of the field, and the summary.
Name of the correlation. A correlation result which is a dictionary between field ids and the result. The type of result object varies based on the name of the correlation. See Pearson's correlation coefficients for more information.
Thus, the number of parameters grows with the amount of training data) measure of statistical dependence between two variables. See Spearman's correlation coefficients for more information. A measure of association between two nominal variables.
Its value ranges between 0 (no association between the variables) and 1 (complete association), and can reach 1 only when the two variables are equal to each other. It is based on Pearson's chi-squared statistic. Its value ranges ranges between 0 (no association between the variables) and 1 (complete association). See Tschuprow's T for more information. In other words, the table summarizes the distribution of values in the sample. Its value ranges ranges between 0 and 1. A rule of thumb is: 0.The list of fields's ids that were excluded to build the association.
In a future version, you will be able to share association with other co-workers or, if desired, make them publicly available. This is the date and time in which the association was updated with microsecond precision. See the discretization table. An array of unique items detected in the datasest. See Item Object below. A real number between -1 and 1 specifying the minimum leverage for the rules discovered.
An array of association rules discovered in the dataset. The total number of rules is less than or equal to k. See Rule Object below. Summary statistics about the discovered rules. These fields are documented in Numeric Field Summary. As in the numeric field summary, the presence of counts or bins depends on the number of distinct values. For items derived from numeric fields represent number ranges, this is the numerical value where the bin ends for a particular item.
It may be null when the range is open ended. Note that the bin is inclusive for regular items but exclusive for complementary items.
For items derived from numeric fields represent number ranges, this is the numerical value where the bin starts for a particular item.
The zero-based item index in the list if the item has a complementary item associated. An array of zero-based item ids for the LHS of the rule. These ids represent the index of the item in the items list. A pair with coverage for the items in the LHS of the rule expressed as a proportion of total instances, and absolute number of counts.
A real number between 0 and 1 representing the p-value for the rule. An array of zero-based item ids for the RHS of the rule. A pair with coverage for the items in the RHS of the rule expressed as a proportion of total instances, and absolute number of counts. A pair with support for the items in the RHS of the rule expressed as a proportion of total instances, and absolute number of counts. A status code that reflects the status of the association creation.
See n-gram for more information. Example: true category optional The category that best describes the topic model.
Specifies the fields that won't be included in the topic model. Example: "MySample" tags optional A list of strings that help classify and index your topic model. This will be 201 upon successful creation of the topic model and 200 afterwards.
Make sure that you check the code that comes with the status attribute to make sure that the topic model creation has been completed without errors. This is the date and time in which the topic model was created with microsecond precision. True when the topic model has been built in development mode.
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The list of fields's ids that were excluded to build the topic model. The list of input fields' ids used to build the topic model. In a future version, you will be able to share topic models with other co-workers or, if desired, make them publicly available.
Whether to include a contiguous sequence of two items from a given sequence of text. Only the names of the topics can be updated. If ommitted, both damped and non-damped trends will be tried and the best models returned.
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