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Quite honestly I never knew when my subscription ended I found out when it ended,i believe you should make it more of a mgrand exit because i continued using this service way after i should have great service though
2016-10-05
Still on free trial period. Have used it twice and very easy to understand.
Filled in a large medical form of 6 pages and had no hassles
As I loaded it for my home use and probably will only use it occasionally I think the cost may be unjustifiable for me to continue with it which is a pity. But it is a good product
2020-03-28
PDF Filler is great
PDF Filler is great, I only gave it 4 Stars because the amount of features and functionality can be confusing and the interface is a little out-dated, but this is the most complete PDF solution available.
2020-04-14
Enjoyable and functional.
Ease of use, functionality, and security features. I like the automatic lock out for the encryption and I enjoy the accuracy in identifying areas that need to be filled out.
That I cannot move folders within folders under the encrypted area. I would like to be able to drag folders into other folders. I would also like to merge more than 5 documents at a time.
2017-11-14
My only knock is the price
My only knock is the price, for a small business this is an unique tool to have to save money getting documents done over etc. If the cost was not out of my price range, for the amount of time i use it i would definitely purchase.
2021-08-16
pdfFiller has done everything I have…
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2021-05-06
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The product was flawless and exactly what I needed. They are the best! I had some issues that required customer service and they went above and beyond to assist me. Thanks, Sam! Highly reccomend.
2020-09-13
I'm still learning! It's been really helpful working from home. It could be a little bit more user friendly, I had to start using it suddenly due to being quarantined,
2020-07-22
This is an excellent product/service that was very useful to me, especially because I have a ********** and can't install windows based pdf editing software. After the trial period, I had a family emergency that caused me to forget to cancel my trial (I love pdf filler but planned to subscribe later when I will need it more) so I was auto charged for the subscription once my trial ended. I contacted support to explain what happened and they responded and resolved my issue within just a few minutes. They were prompt, professional, and understanding. I feel great about the service and customer support that I recieved and plan to subscribe to pdf filler in the near future. I wild gladly recommend pdf filler to anyone who wants a great way to edit pdf files with the confidence of working with a company that has excellent customer service.
2020-04-29
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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 convert labels to annotations?
To convert labels from one layer, right-click the layer in the RCMP table of contents. To convert labels from more than one layer, right-click the data frame. Click Convert Labels to Annotation. For Store Annotation, click In a database.
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