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See for yourself by reading reviews on the most popular resources:
Does what it says. The only thing it says it does that I cannot perform on my Macbook is the ability to shift+tab to the next fill-in section after filling in a previous section.
2014-09-04
Very useful. Some issues with mobile devices filling out fillable forms and not all the data showing up on the completed form. Loading times could be a little faster. Also, I shouldn't have to give the app approval to access my email each time I upload a new file from my gmail account. Once should be enough, and the connection should be remembered, but it's not.
2017-12-05
Does what I need, completing the use of PDF government forms that are professional and easier to complete, greatly aiding in their correct processing.
2019-04-11
What do you like best?
Accessing my files for changes or updates anywhere
What do you dislike?
Limits imposed after competing a process can be frustrating
Recommendations to others considering the product:
Best on the go.
What problems are you solving with the product? What benefits have you realized?
Ability to access, change, update and complete on the go
Accessing my files for changes or updates anywhere
What do you dislike?
Limits imposed after competing a process can be frustrating
Recommendations to others considering the product:
Best on the go.
What problems are you solving with the product? What benefits have you realized?
Ability to access, change, update and complete on the go
2018-12-31
Great software
Excellent, the software is very easy to set up and use and gives me all the functions that I need to edit documents.
Ease of use. It allows us to edit documents easily and send them out to clients for signature.
Lack of choice of fonts. When you edit a document, the font is automatically changed, meaning you have to change the font throughout the document.
2019-09-18
Perfect for avoiding/wasting printing…
Perfect for avoiding/wasting printing items that don't need a wet signature. Easy to download, save, email, etc.
2022-01-13
This was pretty easy to use once I…
This was pretty easy to use once I started. I only needed it for one form and do not edit a lot of PDF files normally.
2021-10-31
I am using pdf filler for doing ongoing reports and also for tax documents. It is good to have a way to complete these documents and have a digital record.
2021-08-07
Great to use
Great to use, but wish the font/size/color of text would always remain as the original was during editing existing text, or at least show what that information is to the user.
2025-02-03
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What does data Labelling mean?
Data labeling, in the context of machine learning, is the process of detecting and tagging data samples. The process can be manual but is usually performed or assisted by software.
What is meant by Labelled data?
Labeled data is a group of samples that have been tagged with one or more labels. After obtaining a labeled dataset, machine learning models can be applied to the data so that new unlabeled data can be presented to the model and a likely label can be guessed or predicted for that piece of unlabeled data.
What is data Labelling in machine learning?
Data labeling is the manual curation of data by humans on machine learning and AI applications. Roughly we call it supervised machine learning because computers need human supervision to get trained to execute tasks that are tricky for machines, but definitely easy for humans such as image recognition.
What is data Labelling and classification?
To classify something is to label it, they are the necessarily same thing. Label is much simpler, and in all cases, classification is just the act of putting labels on objects (or learning to correctly do so).
What is the difference between labeled and unlabeled data?
We can say that labeled is that data which is well-defined. E.g. Emails, IP addresses, etc. Whereas unlabeled data is something which is not properly defined.
What is labeled and unlabeled data?
Labeled data is a group of samples that have been tagged with one or more labels. Labeling typically takes a set of unlabeled data and augments each piece of that unlabeled data with meaningful tags that are informative.
What is Labelled training data?
Labeled data, used by Supervised learning to add meaningful tags or labels or class to the observations (or rows). These tags can come from observations or asking people or specialists about the data. Classification and Regression could be applied to labelled datasets for Supervised learning.
How do you annotate a diagram?
Select the shape you want to add a callout to. On the Insert tab, in the Diagram Parts group, click Callout. Hold your mouse pointer over a callout to see a preview on the page, and click the one you want. On the page, click the callout and type your text.
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