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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
great service ...alittle pricey but im hoping i do enough .pdf filling out to make it payoff. either way really nice job so far, and im just starting. thanks!!
2014-12-03
very intuituve. quick and easy to learn. i operate mobily so i like the fact that i can use it on any of my 4 computers any where in the world. Very easy to drop text in. I like the erase and highlight feature. I tried at least 6 other platfroms and they were too dificult to use.
2015-02-21
What do you like best?
The ease of uploading docs and working with them .
What do you dislike?
The emailing feature doesn't seem to work all the time
Recommendations to others considering the product:
Please give this product a shot. You won't be sorry. It will simplify your life in a way you could never imagine.
What problems are you solving with the product? What benefits have you realized?
Filling out forms, legal docs, etc. I am in a form dominated industry and this saves me a ton of time.
The ease of uploading docs and working with them .
What do you dislike?
The emailing feature doesn't seem to work all the time
Recommendations to others considering the product:
Please give this product a shot. You won't be sorry. It will simplify your life in a way you could never imagine.
What problems are you solving with the product? What benefits have you realized?
Filling out forms, legal docs, etc. I am in a form dominated industry and this saves me a ton of time.
2018-12-31
Kudos to Paul with customer support
Paul with customer support handled my concerns with speed, efficiency, empathy and without judgment. I will not hesitate to use PDF filler again in the near future.
2019-05-09
A Great Way to Fill Out PDFs
PDFs are a form that typically needs to be printed and filled out if you don't have software like this
EAsy to use and simple
Great service
sometimes tricky to use but customer service is helpful
2018-09-18
Have used it to fill out two forms and was very pleased with the experience. The only problem I encountered was being unable to expand the circle. May be due to my not fully understanding the program's capabilities.
2022-11-21
I had one problem with opening the…
I had one problem with opening the project but after letting your team know about it, it was fixed immediately. Thanks for a good service
2021-09-23
I was accidentally billed after…
I was accidentally billed after cancelling my subscription. I contacted the customer service and was completely blown away by the fantastic and prompt support i received. My refund was effected very very quickly....never had such excellent and responsive service. This first class customer support is second to none. Highly recommend pdfFiller. Thanks a bunch.Sandra
2021-07-22
Very easy to use, being an assistant and constantly filling out reports for the State, it is nice to have something that works so easily and is consistent in its responses.
2020-09-03
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What is the difference between normalization and standardization?
The terms normalization and standardization are sometimes used interchangeably, but they usually refer to different things. Normalization usually means to scale a variable to have a value between 0 and 1, while standardization transforms data to have a mean of zero and a standard deviation of 1.
Why do we standardize or normalize data?
Standardization: Standardizing the features around the center and 0 with a standard deviation of 1 is important when we compare measurements that have different units. Variables that are measured at different scales do not contribute equally to the analysis and might end up creating a basis.
Should I normalize or standardize?
In the business world, “normalization” typically means that the range of values are “normalized to be from 0.0 to 1.0”. “Standardization” typically means that the range of values are “standardized” to measure how many standard deviations the value is from its mean. However, not everyone would agree with that.
Why do we standardize data?
Data standardization is about making sure that data is internally consistent. That is, each data type has the same content and format. Standardized values are useful for tracking data that isn't easy to compare otherwise. For example, suppose you and your friend went to different universities.
What is the main purpose of normalization?
The main purpose of normalization is to minimize the redundancy and remove Insert, Update and Delete Anomaly. It divides larger tables to smaller tables and links them using relationships. Data redundancy happens when the same piece of data is held in two separate place.
What is normalization and standardization in machine learning?
In statistics, Standardization is the subtraction of the mean and then dividing by its standard deviation. In Algebra, Normalization is the process of dividing of a vector by its length, and it transforms your data into a range between 0 and 1. Originally published at https://www.safacreations.net.
What is standardization in machine learning?
Data standardization is the process of rescaling one or more attributes so that they have a mean value of 0 and a standard deviation of 1. Standardization assumes that your data has a Gaussian (bell curve) distribution.
What is standardization and normalization?
The terms normalization and standardization are sometimes used interchangeably, but they usually refer to different things. Normalization usually means to scale a variable to have a value between 0 and 1, while standardization transforms data to have a mean of zero and a standard deviation of 1.
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