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I love the convenience of sending a fax from anywhere I have a wifi connection. The ease of filling PDF documents is great compared with other programs.
2015-10-07
I LOVED IT, BUT I REALIZED THAT I THOUGHT THIS WAS SOMETHING I WOULD NEED ALL THE TIME AND IT IS NOT, SO SORRY TO SAY... I WILL BE CANCELING THIS PDF FILLER AT THIS TIME.. BUT I KNOW WHEN AND IF I NEED SOMETHING. I KNOW WHO I CAN COUNT ON AND WHO I CAN REFER TO IF PEOPLE ARE LOOKING FOR CERTAIN FORMS. THANK YOU
2015-11-17
Definitely an aid needed in my industry for State regulatory data gathering forms. Tedious and every facility utilized the 35 pg form differently with no consistency. The tool is also very physician specific though as a Nurse Practitioner a good degree of crativity is required to enter the desired information that has no technical heading/home within the document. Adding pages and making duplicates is key as it often required, especially with added clinical experience and with work history. The ssimple 35 pages easily grows to over 60 at times.
2018-05-21
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2017-11-20
A wonderful tool for small business
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The E-Signature is a bit funny but that's my only complaint.
2017-09-26
I'm extremely happy with the pdfFiller…
I'm extremely happy with the pdfFiller it really makes life easy when you have to get important projects done.
2021-07-17
This was my first test
This was my first test, it seemed to go very well, I've tried a few of these programs and to be honest, this one works the best. I will have to explore it a little further to see if it does what I need todo. Actually so far it's the best I've tried. Actually I think that it offers more than I really need, but if it fits and completes everything I plan on doing that to me would be 100%.
2020-11-11
I came in contact with andrew to cancel…
I came in contact with andrew to cancel my subscription and get my money refunded . And he really helped me and solved my problem. Customer service is really good thankyou
2020-09-15
It's essential for digital nomads. Since my base is in the US. I rely on these solutions to continue operations in the US from abroad. I would integrate payment systems, especially with the banking networks to be able to send money orders or checks physically. And I would suggest connecting with virtual offices to be able to interact with clients in a virtual office setting. I'm thinking a virtual secretary solution... just some thoughts to improve.
Abe
2020-06-24
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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 labeled data?
Labeled data is a designation for pieces of data that have been tagged with one or more labels identifying certain properties or characteristics, or classifications or contained objects. Labels make that data specifically useful in certain types of machine learning known as supervised machine learning setups.
What is data Labelling and classification?
The way I view it: 'Classification' (in the context of machine learning) is a type of problem in which you assign a 'label' to an object. Formally, 'Classification' is a type of problem whereas labeling is a function from an object to a set of labels (maybe infinite).
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 does Labelling people mean?
Labelling or using a label is describing someone or something in a word or short phrase. For example, describing someone who has broken a law as a criminal. Labelling theory is a theory in sociology which ascribes labelling of people to control and identification of deviant behavior.
How do you label data for sentiment analysis?
So, the second rule of thumb for labelling text is to label the easiest examples first. The obvious positive/negative examples should be labelled as soon as possible, and the hardest ones should be left to the end, when you have a better comprehension of the problem.
Which algorithm is used in sentiment analysis?
Sentiment analysis is the similar technology used to detect the sentiments of the customers and there are multiple algorithms can be used to build such applications for sentiment analysis. As per the developers and ML experts SVM, Naive Bayes and maximum entropy are best supervised machine learning algorithms.
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