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I experienced quite a steep learning curve. Meaning, the directions I would have found easier to follow would be in steps...step 1, then step two, etc. In other words, the program was really user friendly to first time user.
Also, I thought I signed on for a5.95 one month contract that I could cancel at any time. Why am I being charge19.95 Please answer this question. Thank you
2015-04-19
The form I filled in was for a Medal of Honor recommendation for a Vietnam vet. The format and help with the form was clear and efficient. I had to come back and modify it, and everything was smooth and easy.Thanks for a very professional tool.
2017-02-26
Great program and awesome customer service
This program did above and beyond what I needed to accomplish for my pdf files that I needed to urgently edit. Signed up for the free trial and had no issues cancelling the subscription service when contacting the customer service for assistance. Should my work orientate around paper work and documents, I would most definitely pay for this service with peace of mind knowing that this service values it's customers.
2019-05-19
Easy to use!
I found the system very easy to use and have only scratched the surface. Converting documents to an editable form was easy to do and the system made it easy to find available PDF or other formatted versions online.
Saving different versions or templates was a bit of a challenge but that was easily remedied.
2019-01-29
spanish feedback: me encanta la manera tan facil en que podemos conectar con aquellos clientes que tienen dificultad para todo cuando se necesita una firma, puedes usar emails, textos y mas, te da solucioin a tu trabajo y eso es LO GENIAL QUE AHI PARA TODO TIPO DE CLIENTE UNA SOLUCION
2024-09-27
Their customer service is great
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PDF filler is easy to use and a great tool for me who is using it constantly to merge files and reduce them to a smaller size. Especially useful for anyone applying for jobs and need to have everything in one document.
2023-03-16
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The biggest problem we have is that we receive uneditable documents that we are able to edit easily with PDFFiller. It's super beneficial because it saves us so much time.
2021-10-25
What a time saving document access and communication method. The ability to format it to meet the inner personal business need and send is fantastic! Great job and thank you to the Creator(s)
2020-04-22
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2025-01-27
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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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