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See for yourself by reading reviews on the most popular resources:
Would be nice if you had a feature that would allow you to duplicate an image or header type across multiple pages in a file. If it is there my apologies, but I could not easily find it.
2014-08-05
Great app! I use it fill out and sign forms online. Before PDFfiller, I had to download, print, fillout and then scan completed forms to retain a digital copy.
2019-01-15
Very easy to use!!
Walks you through as you are filling out. Very helpful for first time user. Easy to go back to make corrections. I work in the dental field and our software does not convert to medical, so this software made it easy for me to use.
2017-11-14
Program makes editing PDF files easy
Program makes editing PDF files easy. Update standard fields is a piece of cake. Getting familiar with program was fast and easy as well.
2024-02-08
Basic but good PDF editing. Reasonable support.
Basic but good PDF editing.
Writing this though cause their support is swift and reasonable.
I accidentally left my subscription running for 3 months after just using the free trial for 1 PDF edit.
After 1 email they refunded all 3 payments without making me jump through hoops.
Thanks guys.
2022-09-05
So far
So far, so excellent. User experience takes a little getting used to, but a quick google shows you how to do it. And I haven't found anything yet that it wont do. Great tool. Used it for about 40 documents so far. Splicing things together, re-wording and cutting and changing dates. Basically editing everything imaginable in pdf.
2022-05-07
Works pretty well.. I figured out how to use it without a whole lot of instruction reading. I wish the alignment in the form boxes could be made more accurate, I had to adjust many.
2022-04-18
Easy to use and works perfectly for my needs
finding this a very useful and easy system to use - meets my requirements for simple PDF editing brilliantly.
2021-10-18
First-class customer service! I wanted to try out the free trial version but ended signing up for an annual subscription. I contacted the customer service about this error, and they gave me the refund immediately.
2020-04-25
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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.
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