Suena igual que "coser" con aguja y hilo? I just discovered a word that I don't think that I've ever heard.

Cocer o coser

Can you say the word "cocer" in place of "cocinar"? What's the difference? When would you say it instead of "cocinar"?

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Does is sound the same as "coser" to sew with needle and thread? Que estas cociendo? Que estas cosiendo? A veces se utiliza cuando estas hirviendo algo. Although most people use both terms as synonyms, "cocer" is to apply a source of heat to the food and it has a "physical process" connotation. Concerning how it sounds, cocer will sound like coser in latin america, but will sound differently in Spain where the C is pronounced similar to a Z when it is next to an E. In Latin America, cocer and coser are pronounced exactly the same way.

I am not sure about Spain, however. Yo siempre he escuchado cocer cuando se refiere a hervir algo en agua, como la pasta o los huevos. No es lo mismo cocer que cocinar. Si nos atenemos a la comida, cocer es una manera de cocinar un alimento, de prepararlo.

Log in Sign up. Look at the conjugation of that verb if you ever plan to use it, by the way. Thanks for this info, Alba. Oh, by the way, I saw a while ago that you already made it to 10K. Set up a "party" for you. If all you ever cook is just to boil some eggs, then you can use these terms interchangeably! To answer your questions in English: cocer and concinar are basically interchangeable, but there may be regional preferences.

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Coser o Cocer

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8 consejos para coser

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coser o cocer rae

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cocinar vs. cocer

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coser o cocer rae

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So for example the word "sea" may be found in a topic related with sea transport but also in a topic related to holidays. Topic model automatically discards stopwords and high frequency words that occur in almost all of the documents as they don't help to determine the boundaries between topics. Topic model's main applications include browsing, organizing and understanding large archives of documents. It can been applied for information retrieval, collaborative filtering, assessing document similarity among others.

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By looking at each group of terms below we can interpret the first topic as regulatory related, the second as healthcare related and so on. You can obtain up to 128 different topics. Once you build the topic model you can calculate each topic probability for a given document by using Topic Distribution. This information can be useful to find documents similarities based on their thematic.

You can also list all of your topic models. Specifies a list of terms to ignore when performing term analysis. This can be used to change the names of the fields in the topic model with respect to the original names in the dataset or to tell BigML that certain fields should be preferred.

coser o cocer rae

All text fields in the dataset Specifies the fields to be considered to create the topic model. If multiple fields are given, the text field values for each row will be concatenated so that each row is still considered to be one document.

If it is unset, it will be chosen automatically based on the number documents (i. The minimum value is 2 and maximum value is 64. Example: "MySample" tags optional Array of Strings A list of strings that help classify and index your topic model. Computation is linear with respect to this parameter. The minimum value is 128 and maximum value is 16384. The minimum value is 1 and maximum value is 128. Example: true You can also use curl to customize a new topic model.

Once a topic model has been successfully created it will have the following properties. Topic Model Status Creating a topic model 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 topic model goes through a number of states until its fully completed. Through the status field in the topic model you can determine when the topic model has been fully processed and ready to be used to create predictions.

Thus when retrieving a topicmodel, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.

To update a topic model, you need to PUT an object containing the fields that you want to update to the topic model' s base URL. Once you delete a topic model, it is permanently deleted. If you try to delete a topic model a second time, or a topic model that does not exist, you will receive a "404 not found" response.

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