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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
PDF FILLER SAVED MY LIFE WHEN THERE WAS NO OTHER WAY TO GET THE JOB DONE. NOT ONLY GOT THE FORMS I NEEDED FROM EVERY YEAR...FILLED THEN OUT...SIGNED THEM AND FAXED THEM ALL FROM PDF FILLER. SO THANKFUL!!!
2015-09-23
Filling out form was fine. I felt like I should have been told there was a cost associated with use before I filled out form, not when I finished. At that point I didn't feel like handwriting everything, so I paid for subscription. I can't justify spending $72.00 a year for something I will seldom use. Wish I would have known up front this was not free.
2016-07-21
The service is great and has come in handy in ways I had not expected. However, you lose 2 stars for my initial experience of first being asked to to pay, by a pop-up, to see a form that was submitted and then after paying being told by another pop-up that I need to upgrade to a more expensive plan. The first pop-up should have presented the correct plan. Felt a little like a bait and switch. But I gave you back one star due to the fact that support was able to fix the problem, quickly.
2017-04-10
I was needing a temporary custody order for my grandchildren. I found exactly what I needed on PDFfiller and it made for a great experience. I will be using this product as needed in the care and control of my Grandkids life.
2017-08-04
In general its an effective tool. I don't like that it will NOT allow you to leave spaces (eg. 1.5/2.0) spaces been typed words. So everthing looks to compact and scrunched in - definatelt a flaw!
2018-08-02
I was freaking out that I couldn't save…
I was freaking out that I couldn't save my work on a PDF for a scholarship app, but after finding this, I am very happy and calm.
2020-04-17
Really good platform.
Just try to fix the bug while opening documents at the dashboard.
The bug is the following:
Click on open item button
It will send to authentication page.
2024-03-26
great for data control
I've only started using the program and so far it is doing what I want - merging my weekly quizzes together so I can show parents (when it comes time) all of their abilities rather than just the top 3
2023-03-19
great site has helped me out a lot being a successor for my deceased loved one. thanks for the great site but please fix the type or a form. it looks terrible and clears the background
2021-01-06
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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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